CA2271672A1 - Internet advertising system - Google Patents
Internet advertising system Download PDFInfo
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- CA2271672A1 CA2271672A1 CA002271672A CA2271672A CA2271672A1 CA 2271672 A1 CA2271672 A1 CA 2271672A1 CA 002271672 A CA002271672 A CA 002271672A CA 2271672 A CA2271672 A CA 2271672A CA 2271672 A1 CA2271672 A1 CA 2271672A1
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- Canada
- Prior art keywords
- web
- bid
- server
- viewer
- advertisements
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0273—Determination of fees for advertising
- G06Q30/0275—Auctions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
A system for providing advertisements from a central server to viewers (10) who access web sites (14). The central server stores both advertisements (16A) which are to be displayed and an information data base (16B). The data base (16B) includes information about viewers, information about the characteristics of particular web sites and other information relevant to which advertisements should be displayed for particular viewers. Proposed bids submitted by different advertisers are evaluated in real time in order to determine which particular advertisement will be displayed to a viewer. Each proposed bid can specify a price or amount that the advertiser is willing to pay for the opportunity to display an advertisement to a viewer who has a particular set of characteristics and on a web site (14) and web page (12) that meets a particular set of criteria. The system includes a web server system (16) which has data bases, bidding agents (30) which compare the characteristics of view-ops to the specifications in proposed bids and which submit bids as appropriate, and bid selection logic which decides which bid to accept for each particular view-op.
Description
2 Field of the invention:
" 3 The present invention relates to computer networks and more particularly to a method and 4 system for selecting and then displaying advertisements on Internet World Wide Web sites.
7 Background of the Invention:
8 Many web sites on the Internet World Wide Web regularly display advertisements. The 9 particular advertisement that is displayed when a viewer accesses a web site can either be stored locally on the web site or it can be stored on a central server. (As used herein 71 the term viewer refers to an individual who views or looks at a web page using a program 12 such as a web browser).
14 The Hyper Text Transfer Protocol (HTTP) and the Hyper Text Mark Up Language (HTML) provide a mechanism whereby a web page can easily reference material located on a 16 remote server, The HTTP mechanisms for referencing and obtaining material from a 17 remote server is useful in providing advertising material for display to viewers. There are 9 8 commercially available systems which provide advertising material for web sites from a 19 central server and various web pages have HTML references to this central server. With such an arrangement, when a viewer accesses a web page which has an appropriate 21 HTML reference, the viewer sees advertisement that is provided by the central server.
23 Using standard HTTP facilities it is possible to track when a particular viewer accesses a 24 web site and thus it is possible to compile a data base which in essence provides a profile of the sites a particular viewer has accessed. Furthermore, it is known that particular 26 categories of viewers generally access particular types of web sites. The capabilities A PP
1 inherent in the World Wide Web for tracking the sites that a viewer has seen provides a 2 mechanism for targeting particular advertisements to particular categories of viewers.
" 3 The present invention relates to computer networks and more particularly to a method and 4 system for selecting and then displaying advertisements on Internet World Wide Web sites.
7 Background of the Invention:
8 Many web sites on the Internet World Wide Web regularly display advertisements. The 9 particular advertisement that is displayed when a viewer accesses a web site can either be stored locally on the web site or it can be stored on a central server. (As used herein 71 the term viewer refers to an individual who views or looks at a web page using a program 12 such as a web browser).
14 The Hyper Text Transfer Protocol (HTTP) and the Hyper Text Mark Up Language (HTML) provide a mechanism whereby a web page can easily reference material located on a 16 remote server, The HTTP mechanisms for referencing and obtaining material from a 17 remote server is useful in providing advertising material for display to viewers. There are 9 8 commercially available systems which provide advertising material for web sites from a 19 central server and various web pages have HTML references to this central server. With such an arrangement, when a viewer accesses a web page which has an appropriate 21 HTML reference, the viewer sees advertisement that is provided by the central server.
23 Using standard HTTP facilities it is possible to track when a particular viewer accesses a 24 web site and thus it is possible to compile a data base which in essence provides a profile of the sites a particular viewer has accessed. Furthermore, it is known that particular 26 categories of viewers generally access particular types of web sites. The capabilities A PP
1 inherent in the World Wide Web for tracking the sites that a viewer has seen provides a 2 mechanism for targeting particular advertisements to particular categories of viewers.
4 There are prior art systems which provide advertisements from a central server that has a data base of information concerning characteristics of viewers. A data base of viewer 6 information can be compiled from a variety of sources including the information about a 7 viewer which is available when a viewer accesses a server. In such prior art systems) the 8 particular advertisement which is displayed when a particular viewer accesses a web site 9 is determined by the characteristics of the viewer as provided by the data base of viewer information and by other information such as the characteristics of the web site which the 11 viewer has accessed. Using such systems advertisers can target advertisements by 12 criteria such as web site category, geographic location of the viewer, the operating system 13 of the viewer's computer, the type of browser which the viewer is using, the Internet 14 domain type of the viewer, etc.
16 Advertisers who use such prior art systems must specify in advance, the targeting criteria 17 they want to use for their advertisements. The central server then provides 18 advertisements to viewers based upon (a) the targeting criteria provided by the 19 advertisers (b) the information which the central server has in its data base concerning the particular viewer, (c) information about the web site that has been accessed by the viewer 21 and (d) other information available to the central server such as the time of day.
1 Summary of the present invention 2 The present invention provides an improved method and system for providing 3 advertisements from a central server to viewers who access web sites. With the present 4 invention the central server system stores both advertisements which are to be displayed and an information data base. The data base includes information about viewers, 6 information about the characteristics of particular web sites and other information relevant 7 to which advertisements should be displayed for particular viewers. In contrast to the prior 8 art systems, the present invention evaluates, in real time, bids submitted by different 9 advertisers in order to determine which particular advertisement will be displayed to a viewer.
12 The fact that a viewer has accessed a web page which has an HTML reference to the 13 advertising server of the present invention, is herein referred to as a view opportunity or 14 view-op. The characteristics of each view-op inctude the characteristics of the particular web site and web page being accessed and the characteristics of the viewer including 16 demographic information about the viewer and information as to what other sites this 17 viewer has accessed in various periods of time.
19 With the present invention each advertiser provides one or more "proposed bids" which specify how much the advertiser is willing to pay for displaying a particular advertisement 21 in response to a view-op with certain characteristics. Each proposed bid can specify a 22 price or amount that the advertiser is willing to pay for the opportunity to display an 23 advertisement (a) to a viewer who has a particular set of characteristics and (b) on a web 24 site and web page that meets a particular set of criteria. Each proposed bid can be ' 25 dependent upon or require satisfaction of various criteria which must be met in order for a 26 bid of a particular amount to be submitted. For example an advertiser might specify that i 1 the first one thousand times that view-ops meeting certain criteria occurs, a bid of five 2 cents will be submitted and each time thereafter that a view-op meeting the criteria occurs 3 a bid of one cent will be submitted. The amount bid for a view-op can be dependent on 4 as many criteria as the advertiser cares to specify. Another example is that an advertiser might bid ten cents if the view-op was by a viewer who had recently visited a particular 6 web page and one cent for the same view-op if the viewer had not recently visited the 7 particular web page. Yet another example of a parameter which could be specified in a 8 proposed bid is the "click-through" rate for the particular site where the view-op originated.
9 The click-through rate is the rate at which viewers click on an advertisement to access the advertiser's web site. Thus, the bidding parameters can either be simple or complex.
12 The present invention includes (a) a web server system which has data bases stored 13 therein, (b) bidding agents which compare the characteristics of view-ops to the 14 specifications in proposed bids and which submit bids as appropriate, and (c) bid selection logic which decides which bid to accept for each particular view-op.
17 With the present invention, when a view-op arises, the bidding agents evaluate the 98 characteristics of the view-op compared to the specifications in proposed bids and the 19 bidding agents submit bids to the bid selection logic where appropriate.
Next, the bid selection logic selects the highest bid from the various available bids and the 21 advertisement which is specified in the highest bid is displayed. The novel aspect of the 22 present invention is the organization, operation and interaction between the bidding 23 agents, the server which provides information to the bidding agents, the bid selection logic 24 and the associated mechanisms for presenting the advertisements.
1 The present invention provides a very flexible system whereby advertisers can minimize 2 cost and maximize effectiveness while the owner of web sites can obtain the highest 3 possible revenue for displaying advertisements on their site.
Brief Description of the Drawings 6 Figure 1 is a simplified system block diagram of a preferred embodiment of the invention.
8 Figures 2A and 2B are simplified block flow diagrams of the operation of the invention.
Figure 3 is an overall block diagram of a preferred embodiment of the invention.
12 Figure 4 is a diagram showing the organization of various tables which are utilized by the 13 present invention.
Figures 5A to 5C are flow diagrams showing how each view-op is evaluated or tested to 16 determine if a bid should be submitted.
18 Figures 6A to 6E are flow diagrams showing the operation of the system.
Figure 7 is a block diagram of an alternate embodiment of the invention.
22 Detailed Description of embodiments of the invention 23 In order to explain the principles of the invention, an overall simplified diagram of a first 24 preferred embodiment of the invention is shown in Figure 1 and a simplified block diagram of the operation of the system is shown in Figures 2A and 2B. After the principles of the m WO 98!34189 PCT/US98100386 1 invention have been explained with reference to Figures 1 and 2, the first preferred 2 embodiment of the invention is described with reference to Figures 3 to 6.
4 As shown in Figure 1, a human viewer 10 utilizes a client browser 11 to access a web page 12 on a web site 14. The web page 12 is transmitted to browser 11 in a 6 conventional manner. Web page 12 includes an HTML reference to a file {i.e.
an 7 advertisement) located on an advertising web server system 16. The client browser 11 8 has what is known in the art as a "cookie" 11A which provides information from browser 9 11 to the web server system 16. The client browser 11, the cookie 11 A, the web site 14 and the web page 12 are all conventional and in widespread use. For example, the client 11 browser 11 could be one of the commercially available web browsers, for example, the 12 commercially available and widely used web browser marketed by Netscape 13 Communications Corp. under the trademark "Netscape Navigator". The web site 14 and 14 the web page 12 could be any of the thousands of web sites and web pages which are part of the World Wide Web and which have HTML references to advertisements which 16 are located on a remote server.
17 Web page 12 includes an HTML reference to an advertisement stored on advertising web 18 server system 16. Each time client browser 11 displays web page 12, the human viewer 19 10 will see an advertisement which is provided by advertising web server system 16.
Such HTML references are in widespread use and they are implemented using 21 conventional HTML tags. Advertising web server system 16 includes a data base of 22 advertisements 16A, a data base of viewer information 16B, and a bid selection logic 16C.
23 The bid selection logic 16C receives bids from bidding agents 30A to 30Z
which in turn 24 receive information concerning proposed bids from bid input system 18. For purposes of illustration only three identical bidding agents 30A) 30B and 30Z are specifically shown.
1 The reference number 30 will be used to refer to a typical bidding agent. It should be 2 understood that the system could include any number of bidding agents. For example, a 3 system could include several thousand bidding agents 30. Bid input system 18 provides 4 bidding agents 30 with proposed bids which specify how much should be bid for view-ops - 5 with particular characteristics. Each bidding agents 30 evaluates each view-op to B determine if the view-op meets the criteria specified in a particular proposed bid and if so 7 how much should be bid.
9 Each bidding agent 30 evaluates a view-op with respect to one proposed bid to determine if a bid should be submitted. Each proposed bid includes a list of parameters which 11 specify the particular type of viewer which the advertiser wants to reach.
For example, a 12 proposed bid might specify that the advertiser is wilting to pay five cents for the 13 opportunity to place an advertisement on a web page which is accessed by a viewer who 14 has accessed three financial web pages and an automotive web page within the last week.
17 In general the system includes one bidding agent 30 for each proposed bid (see later 18 discussion about multi-level bids). Each advertiser would have an associated bidding 19 agent 30 for each ad campaign the advertiser wants to conduct. Advertisers submit proposed bids to their associated bidding agents for evaluation against view-ops. Bidding 21 agents 30 can be simple or complex and if desired they can have the ability to evaluate 22 more than one proposed bid to determine what bid should be submitted to the bid 23 selection logic 16C.
1 When a view-op presents itself (i.e. when viewer 10 accesses a web page 11 which 2 contains an NTML reference to server system 16) the advertising web server system 16 3 pertorms four operations:
4 ( 1 ) It updates the information about the viewer which is in data base 16B.
(2) It sends information concerning the view-op to the bidding agents 30. The 6 information sent includes information that the server system 16 received from 7 browser 11 and information in data base 16B. Bidding agents 30 in turn decide 8 which bids to submit to bid selection logic 16C.
9 (3) It compares various bids received from bidding agents 30 in order to determine which advertisement to display.
11 (4) It sends the appropriate advertisement from data base 16A to browser 11.
13 The operations performed by advertising web server system 16 are shown in Figures 2A
14 and 2B. Figure 2A shows how server system 16 uses the information from cookie 11 A to update the data base of viewer information 168 to reflect the fact that this particular 16 viewer has accessed this particular web page. The operations proceed as shown by 17 blocks 201 to 203. Block 201 indicates that a viewer has selected web page 12 and that 18 the selected web page has been transmitted to the viewer's browser 11. As indicated by 19 block 202, web page 12 has an HTML reference to a fife on server system 16 using conventional HTML techniques. Block 203 indicates that the server 16 then obtains data 21 from cookie 11A to update the data base of viewer information 16B.
23 When a viewer 10 accesses web page 12, which has an HTML reference to server 24 system 16, the present invention determines which advertisement from data base 16A to present to the viewer. The manner in which the system pertorms these operations is 26 shown by block diagram 28. For example, one advertiser might have submitted a 1 proposed bid to bidding agent 30A which specified that he is willing to pay five cents for 2 displaying an ad to a viewer who has accessed at least three financially oriented data 3 bases within the last week. Another advertiser might have submitted a proposed bid to 4 bidding agent 30B specifying that he is willing to pay six cents for displaying an advertisement to a viewer that has accessed at least three financially oriented data bases 6 with the last five days. When a view-op occurs which is initiated by a viewer 10 who has 7 accessed three financially oriented data bases in the last five days, bidding agents 30A
8 and 30B would determine that the particular view-op satisfies the criteria specified by both 9 advertisers. Both bids would be submitted to bid selection logic 16C and bid selection logic 16C would then select the highest bid and the advertisement specified by that 11 advertiser would be displayed to the viewer. The criteria specified by the advertisers may 12 be much more complex and involve many more parameters than those given in the simple 13 example specified above. However, notwithstanding the complexity of the proposed bids 14 and the number of parameters specified in each proposed bid, the operations performed by bidding agents 30 and by bid selection logic 16C are as explained in the above simple 16 example.
18 As shown in Figure 2B, a cycle of operation begins (block 210) when a viewer 10 selects 19 a web page 12 which has a HTML reference to web server system 16, that is, when a view-op occurs. It is noted that this occurs in real time and it can take place thousands of 21 times per minute. Block 211 indicates that the web server system 16 sends information 22 concerning the view-op and related information in the data base 16B to the bidding 23 agents 30. The bidding agents 30 compare the information about the view-op to the 24 proposed bids that have been submitted by advertisers. That is, the bidding agents 30 determine if the characteristics of the view-op meet the criteria in the proposed bids and if 28 so they submit bids to bid selection logic 16C (block 213). As shown by block 214, the bid m 1 selection logic 16C compares various bids and selects the highest bid and therefore an 2 advertisement for display. The appropriate advertisement called for by the winning bid is 3 then sent from data base 1fiA to browser 11 (block 215).
Block 212 indicates that each advertiser submits proposed bids, each of which includes 6 various parameters which, for example, specify the type of web page on which the 7 advertiser wants to advertise and an amount, (i.e. the dollar amount) which the advertiser 8 is willing to pay for having a particular advertisement displayed. Details of the various 9 parameters which can be included in a proposed bid are explained later.
11 In order to understand the power of the present sys#em and its differences from the prior 12 art, it is important to realize that the bidding agents 30 evaluate proposed bids in 13 microseconds, that is, in real time. The rate at which "hits" on web pages occur (i.e. the 14 rate at which viewers access web pages that have HTML reference to server system 16 ) can be in the order of thousands per second. Thus, the evaluation of proposed bids is 16 pertormed very quickly in real time. Proposed bids can contain parameters which specify 17 that a proposed bid will in effect change in real time. For example a proposed bid might 18 specify that for the first 1000 matching view-ops) the proposed bid will be five cents and 19 for the next 1000 matching view-ops the proposed bid will be four cents.
The actual submission of proposed bids by advertisers and the rate at which advertisers can change 21 their proposed bids is measured in minutes compared to the rate at which the system 22 evaluates proposed bids which is in the order of microseconds.
24 The operation of the browser 11, the operation of the web server 14 , and the manner in which web pages produce HTML references to web server system 16 using the HTTP
26 protocol and HTML mark up language are described in numerous published books such 1 as :"HTML Source Book A Complete Guide to HTML" by IAN S. Graham, published by 2 John Wiley and Sons (ISBN 0 471-11849-4) or "The Internet Compete Reference"
by 3 Harley Hahn and Rick Stout, published by Osborne McGraw-Hill, ISBM 0 07-881980-6.
4 Numerous other books are also available which describe the HTTP protocol.
Such books describe how a browser, such as 11, can access a web page, such as web page 12, 6 which in turn has an HTML reference to a file (i.e. an advertisement) stored on a server 7 such as advertising server system 16.
9 A more detailed block diagram of the preferred embodiment of the invention is shown in Figure 3. Numerous additions and changes can be made in the preferred embodiment 11 shown in Figure 3 without departing from the spirit of the invention. As will be explained 12 later with reference to Figure 7, a number of systems, each identical to the system shown 13 in Figure 3, (and each of which is at a different geographic location) can be 14 interconnected into a network so as to more efficiently service view-op requests.
16 As shown in Figure 3, the preferred embodiment is composed of five main units, namely, 17 Web server 310, view server 320 (servers 310 and 320 together comprise the advertising 18 web server system 16 shown in Figure 1) , identical bidding agents 30A, 30B
and 30Z, 19 bid input server 18 and log and billing unit 320A. As stated with respect to Figure 1, a system can include any number of bidding agents: A typical system could include a 21 thousand or more bidding agents. For clarity of illustration only three bidding agents 30A, 22 30B and 30Z are specifically shown in Figure 3. Hereinafter the term bidding agent 30 23 will refer to one representative bidding agent. It should be understood that there could be 24 many bidding agents 30 in a system.
1 Bidding agents 30 evaluate bids to determine if a particular view-op meets the criteria of a 2 particular bid. That is, bidding agents 30 compare the specifications in a proposed bid to 3 the characteristics of a view-op. An example of the comparison process is explained later 4 with reference to Figure 5. Bid selection logic 16C in view server 320 determines which advertisement will be displayed, that is, which is the highest bid for each particular view-6 op.
8 The web client browser 11 accesses web sites {such as site 14 ) using the conventional 9 HTTP protocol. The present invention begins to function when the web page which is accessed by browser 11 contains a conventional Internet HTML reference to web server 11 310.
13 The web server 310 provides an advertisement to web client browser 11 in response to an 14 HTML reference. Such an operation is conventional. The function of the present invention is to determine which particular advertisement from data base 16A
will be 16 provided in response to each HTML reference from web client browser 11 to web server 17 310.
19 The web server 310, view server 320, bidding agents 30 and bid input server 18 can all be implemented by computer programs that are alf resident in and executed by one single 21 physical computer. Alternatively, each of the components may be implemented in 22 separate physical computers connected by a conventional inter-computer network. The 23 decision concerning implementation is a single computer or in a group of interconnected 24 computers depends upon the cost, capacity and speed of the available computers. With respec# to the explanation of the operation of the present invention, it is not relevant as to 1 whether or not the various components are implemented in a single computer or in a 2 network of interconnected computers.
4 The web server 310 can be implemented using conventional commercially available web server technology. For example, the commercially available web server marketed under 6 the tradename Zeus can be used to implement web server 310. The operating system 7 used in web server 310 is conventional and is not described herein. It could for example 8 be the conventional Unix operationg system Likewise view server 320 and bid input 9 server 18 have a conventional operating system such as the Unix operating system. The processes and programs described herein run as application programs under such a 11 conventional and commercially available operating system.
13 When web server 310 receives an HTTP request or HTML reference (a view-op), it 14 delivers the contents the view-op to the view server 320. View server 320 in turn sends information concerning the view-op to bidding agents 30. Bidding agents 30 in turn 16 evaluate the characteristics of the view-op (which includes information supplied by server 17 320) against the criteria specified in each proposed bid. If the characteristics of a view-op 18 meet the criteria in a proposed bid, a bidding agent 30 will submit a bid to view server 19 320. After receiving input from bidding agents 30 (that is from all the bidding agents 30 that submit bids) the bid selection logic 16C in view server 320 selects the highest bid 21 and indicates to web server 310 which advertisement should be displayed in response to 22 the view-op. !n response to the input from view server 320, the web server 310 delivers 23 the appropriate advertisement to the web client 11 Bidding agents 30 must be programmed to evaluate proposed bids in a certain amount of 26 time and to submit actual bids to server 320 within pre-established time limits. If server ~ i WO 98134189 PCT/CTS98/0038b 1 320 does not receive a bid from a particular bidding agent 30 within a certain time, it 2 assumes that it will not receive a bid from that bidding agent and it selects the highest bid 3 from the bids received from the other bidding agents.
The main functionality or the "kernel" of the system is implemented in the view server 320 6 and in bidding agents 30. View server 320 has a number of tables, and conventional data 7 base functionality for querying, inserting, updating and deleting data from the tables. The 8 data base capabilities may be implemented using a conventional commercially available 9 Structured Query Language (SQL) data base such as one of the data bases marketed by Oracle Corp. or the data base marketed by Microsoft Corp. under the tradename 11 "Access". Alternatively, these tables can be implemented using specially written 12 programming which optimizes the speed of certain operations.
14 View server 320 and bidding agents 30 are each objects (in the CORBA or Common Object Request Broker Request sense), they are persistent, and they can be moved 16 across machine or network boundaries. Naturally pertormance is impacted depending 17 upon whether or not these objects are implemented in one computer or in a network of 18 connected computers. As is conventional, indexing techniques can be used in order to 19 increase speed of operation related to the various tables.
21 The following terms are used herein with the following meaning:
22 Ad-Serve: Placing or "pumping" advertising content in an HTTP reply to a view-op. Note, 23 putting advertising content in an HTTP reply results in an advertisement being 24 displayed by a browser so that it can be seen by a Viewer.
_1d-Script: A script or mark up language for establishing bidding logic.
1 Bidding Agent A unit, computer program or agent (in the programming sense) that 2 evaluates the characteristics of a view-op to determine if the criteria or parameters 3 set out in a particular proposed bid meets the specifications of a particular view-4 oP.
Click-through: The event that occurs when a Viewer clicks on an advertisement and is 6 hyperlinked to new content.
7 Exposure: The number of ad serves for a particular advertisement.
8 Frepuency: Number of times each viewer (on average) will be exposed to an advertisement. in general the frequency is equal to the total number of exposures divided by the reach number.
11 //CODE: A standard identifier assigned to individual viewers. //Codes are used as 12 registration information by many web sites. Interact Profiles Corporation offers a 13 commercial service which collects in-depth demographic information about viewers 14 for whom it issues or assigns //Codes. This information or other similar information about viewers is stored in table 16B.
16 Internet: The global information system that is logically linked together by a globally unique address space based on the Internet Protocol (IP). The Internet is able to 18 support communications using the Transmission Control Protocolllnternet Protocol 19 (TCP/IP) suite.
IP Data: Data about the viewer which is specified using the Internet protocol.
The IP data 21 about a viewer is presented to the system at view-op time in accordance with 22 standard HTTP conventions. The IP data is defined by standard HTTP
23 conventions and it includes: CGI (common graphic interface) variables, Browser 24 type {e.g. Netscape), viewers URL, high-level domain (.edu, .gov, .com" OS
of viewer (MAC, Windows, etc.), host, IP address, and URL of referring Web page.
1 Maximum Bid Price: This is the maximum amount that can be specified when placing bids 2 on behalf of a bidding agent. (see Minimize Bid).
3 Minimize Bid: This is an option that the media buyer (i.e. the person who buys the 4 advertising) can set on or oft (it is set for each media buy). If the option is set "on"
then the system will try to bid the minimum amount necessary to maintain the level 6 of buying that will ensure the desired number of impressions during the time 7 allotted to the media buy. The amount bid will be increased as need to maintain 8 the desired level of buying; however, it will never be increased beyond the 9 maximum bid.
Pre~buy: The purchase of the right to display an advertisement in response to particular 11 view-ops for a specified amount.
12 Proposed Bid: This is an offer to pay a particular amount for the opportunity to provide an 13 advertisement in response to a view-op that has certain characteristics. If a view 14 op satisfies the criteria specified in a proposed bid an actual bid (called a bid) is submitted to the bid selection logic 16C.
16 Reach: The total number of unique viewers the advertiser wants to reach with the media 17 buy. Cannot exceed the total number of exposures.
18 Recently Seen Ad Data: Information relating to the most recent advertisements served to 19 a unique or particular viewer.
Spot Buy: A decision to purchase a particular view-op for a specified amount which is 21 made in real time.
22 View-Op: The opportunity to serve an advertisement to a viewer that occurs when a web 23 browser makes a request for content by referencing to a server. This is the basic 24 unit of "perishable inventory" that advertisers buy.
View-time: The length of time that a viewer looks at an advertisement.
26 Viewer: A person who accesses a page on a web site and receives an Ad-Serve.
1 Viewer History Data: Historical data about a unique or particular viewer.
This may include 2 such information as previous viewing habits, purchases, click-throughs, etc.
3 Viewer Registration Data: Data collected by a web site (at viewer registration time) 4 including age, sex, income, etc. The uploading of this data to the server data base is performed in non-real-time.
6 Web Avail: Seller's inventory, that is, a slot for advertising content.
"Avail" is an 7 advertising term. Web avail is the equivalent term applied to the world wide web.
8 Web Paae Data: Data concerning a web page such as: keywords, stock categorizations.
Also includes (non-real time) third party-supplied data, as well as data provided by the system operator with respect to traffic, pricing, etc. concerning a particular site.
11 Web Site Demographic Data: This is data about a specific web site.
12 Web Site: A term conventionally used in connection with the World Wide Web.
Usually 13 an Ad space provider (seller).
The system utilizes a number of data tables 16B which are stored in the view server 320.
16 The structure of tables 168 are shown in normalized form in Figure 4. The system also 17 utilizes an area of memory for temporarily storing certain information.
This area of 18 memory is called the VOD area of memory. It should be understood, that as is 19 conventional, some of the data in the tables 16B can be stored in program structures and indexes which can then be used to access the data in order to increase speed.
For best 21 pertormance all of the tables 16B must be located in RAM.
23 As shown in Figure 4, there are four tables referred to as HUD, SOD, CUD, AAD and one 24 special area of memory referred to as VOD. The four tables and the special area of memory are:
WO 98/34189 PCT/iJS98/00386 1 HUD table 408: This table stores Historic Viewer Data. It indicates which sites each 2 viewer has previously accessed.
3 SOD table 409: This table identifies the previously "sold" view-ops. This table tells who 4 previously bought which view-ops.
S CUD table 410: This table identifies viewers and their characteristics. .
6 AAD table 412: This table identifies every active advertiser. There is a record in this table 7 for every active advertiser.
8 VOD area of memory 415: This area temporarily holds data which is being transferred to 9 the bidding agents.
A conventional notation system is used to identify fields herein.
Substructures of a main 11 structure are designated by using the name of the main structure, followed by a period, 12 followed by the name of the substructure. For example CUD.LST means the LST
field of 13 the CUD table.
The fields in the tables shown in Figure 4 are identified using the following abbreviations:
1fi 17 HUD table 4o8 (Historic Viewer Data, which sites each viewer has previously accessed) 18 1 ) WS Web Site ID Site where ad was placed 19 2) SP Site Page iD Page where ad was placed 3) CU Current Viewer ID, this is, who saw the particular web site, the llCode.
21 4) TI Time Interval 22 5) N Number of time the viewer CU visited the site in the time interval TI
24 SOD table 409 : (who previously bought which view-ops) 1 ) AA An identification of the bidding agent who purchased a view-op.
26 2) PP Purchase Price Purchase price for this view-op 27 3) CU Current Viewer ID i/Code of who saw the ad 1 4) WS Web Site ID where ad was placed 2 5) SP Site Page ID where ad was placed 3 6) TS TimeStamp when placed 4 ~) AC Agent Content ID of ad that was placed 8) AJ Agent Jump ID of where click-throughs go 6 9) TSC TimeStamp when click-through happened, (0 for none) 7 10) VO View-op ID each view-op has a unique ID..
9 CUD table 410 (viewers and their characteristics) 1 ) LTS Last Seen Time Stamp, that is, time this viewer was last seen by the system 11 2) IP Internet Protocol address (from REMOTE_HOST) 12 3) DN Domain name Full Domain name (from REMOTE_ADDR) 13 4) CO Cookie 14 5) EA Email Address 6) BT Browser 16 7) CU !/CODE data 17 8) ZC Zipcode, 18 9) PDC Parsed Domain Items 1 S~ level, 2"d level) 3'd level parse domain items AAD Table 412 ( identifies active advertisers) 21 1) BL BudgetLeft Current agent's budget remaining 22 2) CTL CIickThrusLeft Current click-through count remaining (number) 23 3) VL ViewsLeft Current exposure count remaining (number) 24 4) TE Time Expired Time expired (i.e. agent is "dead" or expired if not 0) 5) AA An identification of the bidding agent 27 VOD memory area 415: This is a data communication structure in memory that facilitates passing 28 data between objects.. When a view-op is received, data is placed in the VOD area and then 1 transmitted to the bidding agents. As an example, the following data can be placed in the VOD for 2 transmission to the bidding agents.
3 1) Current Viewer Data 4 CO Cookie - gives information about the viewer that initiated the view-op.
EA Email Addr. of viewer that initiated the view-op.
6 C //Code of viewer that initiated the view-op.
7 TS TimeStamp 8 Last Seen Time Stamp 9 IP Internet Protocol information Full Domain Name (e.g. "sales.gm.uk"}
11 Parsed Domain Name (e.g. Top = "uk", 2"d - "gm", 3'd = "sales") 12 IICODE plus associated data 13 Zipcode*
14 BT Browser type (e.g. "Mozilla I Unix 4.0") VO View Op ID
16 CT Content Type, Identifies a particular type of ad that site will accept.
17 2) Data About Advertisers 18 Original and Current budget 19 Original and Current Views budget Original and Current Click thru budget 21 Time-Start/End 22 advertiser !D
23 3) Site Data 24 Keywords which appear on site Site Page Ad Minimum Price 26 Accepts content List (what will site accept e.g. java, gif; sizes) 1 Site Owner Name 2 Site URL
3 Site Title 4 Site Intro Page Title 4) Historic and other data from data base 16B: This is the VODX area 415A:
This is a 6 subset of the VOD structure and it is a subset of data that is in the CUD, AAD, 7 HUD and SOD. The data in the VODX is transmitted to the bidding agents on 8 each view-op. The data placed in the VODX can for example be:
9 a) CUD Record Portions: Portions of CUD that exist such as domain, browser, //code relative to a viewer associated with a view-op.
11 b) 100 SOD records where SOD.WS.SP = VOD.WS.SP That is, where site page and 12 web site in SOD equal site page and web site in the VOD.
13 c) 100 SOD records where Customer ID (i.e. (/Code) in SOD equals Customer 1D in VOD
14 That is, sold view-op records for this Viewer.
d) 100 HUD records: most recent records for this CU, WS and SP.
17 In the above example, the historical data is in units of one hundred records. It should be 18 understood that the number of historical records sent to the bidding agents, is established 19 by determining the type of specification which advertisers want to put in proposed bids. If advertisers want to base the decision on whether or not to submit an actual bid on the 21 data in more than 100 historical records, the number of historical records placed in the 22 VOD must be larger than 100. Alternatively, in a low cost system which has a limited 23 amount of memory, and relatively stow speed communication, the data selected for 24 inclusion in the VOD could be less than the data listed above.
m 1 The data in the VOD is provided to the bidding agent 30 at every view-op.
The bidding 2 agents 30 can use this information to make a buy decision by comparing the criteria 3 specified in a proposed bid with the characteristics of a view-op. All of the data that is 4 listed above will not be available for each view-op. If certain data (i.e.
data in a particular field) is not available relative to a particular view-op and a proposed bid requires that the 6 data in the particular field have a particular value, no actual bid will be submitted by the 7 bidding agent when the proposed bid is evaluated. The list of information or data in the 8 VOD as given above is illustrative and any available information which advertisers feel is 9 relevant to making buy decisions can be provided.
11 Some of the data in tables 16B is collected as the system operates. Other information 12 such as information about viewers can be purchased from commercial information 13 providers and periodically inserted into the tables 16B from an external connection.
On each view-op, that is, when each view-op occurs, bidding information is presented to 16 each of the bidding agents 30. When a bidding agent 30 receives information about a 17 view-op, it evaluates the view op with respect to the criteria specified in a particular 18 proposed bid and the bidding agent then either does nothing or returns to server 320 a 19 bid with a price and an identification of an ad to display if the bid is accepted. When a bidding agent receives information about a view-op each bidding agent 30 pertorms 21 comparison operations such as those shown in block diagram form in Figure 5.
23 The bidding agents may be computer programs written in conventional computer 24 languages. For example a bidding agent 30 may be a program in interpreted form) in script language (for evaluating proposed bids that are in Ad Script form) or a bidding 26 agent may be a previously compiled program. The exact form of the bidding agents is not WO 98/34189 PCT/iJS98100386 1 particularly relevant to the present invention provided that the bidding agent perform 2 comparison operations such as those shown in Figure 5. It is also noted that the bidding . 3 agents may be complex computer programs that perform various complex comparison 4 operations in addition to or in place of the operations shown in Figure 5.
However, in the preferred embodiment of the invention, the bidding agents are simple conventional 6 computer programs that perform the type of comparison operations shown in Figure 5.
8 During the normal operation of the system, the process begins upon receipt of a view-op 9 from the browser 11. Upon receipt of a view-op the system does the following:
1 ) An attempt is made to identify the viewer via HTTP connect information.
The system 11 seeks to determine if this viewer has been seen before. This is done using 12 conventional and well know HTTP protocol techniques, the data in data base 13 and conventional data base technology.
14 2) The data concerning the viewer is used to update the table's Current Viewer Data (table 410) relative to this view-op's viewer.
16 3) A view-op object (VOD 415) is transmitted to each bidding agent 30.
17 4) The bidding agents 30 determine if the view-op meets the requirements of various 18 proposed bids.
19 5) Bids are collected from the bidding agents 30 and a determination is made as to the winning bid.
21 6) The winning bid includes an ad index identifying the ad to be displayed.
This ad index 22 which identifies an ad in table 16A is transmitted to the web server 310 and the 23 appropriate ad is sent to the browser 11.
24 7) The tables 16B are updated as to the view-op just bought (as to all view-op data of the just sold item including Historic Viewer Data such as Site, Viewer, Time seeing this 26 exposure, etc. ).
1 8) Log and billing information is transmitted to a log and billing unit.
3 Time Path: The following describes the time sequence of operations that occur when a 4 HTTP view-op request arrives from the web server 310. This can be a multi-threaded operation, that is, multiple requests might be processed simultaneously; they each 6 maintain their own context and depend on the basic operating system (OS) for time 7 slicing. This describes the time sequence for processing one view-op request. The 8 following description uses symbolic values for time.
9 TimeO:
HTTP view-op request packet received 11 Extract HTTP variables from HTTP request:
12 HTTP Query String (PATH_INFO) WS SP
REMOTE HOST == domain 16 REMOTE ADDR (IP) Time1:
21 Lookup in CUD and try to match viewer 22 If success save CU and update Last Seen TimeStamp 23 If failure 24 Create new CU;
insert a new CUD record 26 Time2:
1 Create & build VOD object (contains view-op data for bidding agents) for the view-2 op.
3 Time3:
4 Lookup last N (i.e. 100) SOD records for CU, and save in VOD
Time4:
6 Lookup last N (i.e. 100) HUD records for CU.SW.SP, save in VOD
7 Times:
8 Remember VO ID and initiate a time-out.
9 Time 6:
Transmit VOD to all bidding agents.
11 After the VOD data is transmitted to the bidding agents 30, the bidding agents 30 12 evaluate proposed bids and if appropriate sent messages (bids) to view server 320.
13 These messages will be bid object data (bid price and ad ID). View server 320 collects 14 the bids and selects the highest bid. (This is done by bid selection logic 16C in view server 320 which compares each bid received with the current winner of the bid compete 16 process until no further bids are received).
17 Time7:
18 Transmit winning ad index (that is the ad index from the winning bid) to web 19 server 310. The ad-index indicates which of the ads in table 16A is to be transmitted to browser 11.
21 TimeB:
22 Update table 16B (as to the view-op just bought);
23 Time9:
24 Insert in SOD view-op Data (as to all view-op data of the just sold item);
Time 10:
m 1 Upda#e or insert Historic Viewer Data {as to Site, Viewer, Time seeing this 2 exposure).
3 Time 11:
4 Transmit Log/Billing information to the Log and billing unit 320A.
6 Proposed bids are submitted to bidding agents 30 by bid input uni# 18. Each proposed 7 bid, which is submitted in the form of a programming Form Object, contains data fields 8 such as the data fields listed below. A particular proposed bid may not have data in each 9 of the fields of the associated Form Object. Furthermore one proposed bid may contain multiple Form Objects. That is, an advertiser may submit multiple form objects at multiple 11 levels. For example, an advertiser may specify a level one proposal of five cents if one 12 particular set of criteria are met and a level two proposal of four cents if other criteria are 13 met. Each proposed bid (i.e. each form object) may contain a wide range of criteria that 14 must be satisfied if an actual bid is to be placed. The criteria may be very stringent in a situation where the proposed bid is high and the advertiser wants to reach only a very 16 select group of viewers. On the other hand the criteria may be loose if the bid is low and 17 the advertiser wants to reach a large number of viewers who meet only a minimum set of 18 criteria. For example, a proposed bid might have the single criteria such as that the view-19 op is from a viewer that is using the "Netscape browse". Alternatively a proposed bid might specify values for items "a", "b", "c", "e", "g",~ "h" and "i" listed below and specify that 21 these values must be met before a bid is submitted for this advertiser.
23 Another example is that a bid might specify a set of criteria and a list of ads that are to be 24 displayed in sequence each time a particular viewer who meets the criteria is encountered. Such a list is referred to as a "rotation" of ads. A proposed bid might also 1 specify that after all the ads in a rotation are displayed to a viewer, there should be a 2 specified delay before the viewer is again shown the ads in the rotation.
4 As an example, each form object may have the following fields (naturally it should be understood that these are merely illustrative and the number and description of actual 6 fields is merely limited by the advertiser's desires concerning what criteria the advertiser 7 cares to specify in a proposed bid.):
8 a) Frequency: that is, the number of Ad serves for one unique viewer of this ad 9 b) Include sites list (those sites that are acceptable to the advertiser) c) Exclude sites list (those sites that are not acceptable to the advertiser) 11 d) Maximum bid .........(in no event can the bid be larger than this amount) 12 e} Keywords for site (words that must be in the site if a bid is to be submitted) 13 f) Keywords for site-page (words that must be on the page) 14 g) Times: DaypartslVlleekparts (when can ad be placed) h) Viewer OS (operating system viewer must have) 16 i} Viewer Zipcode 17 j) Viewer US State 18 k) Viewer Domain (.corn, .edu, .gov, .mil, .org) 19 i) Viewer ISP
m) Viewer Country 21 n) Viewer SIC code 22 0) Viewer # of employees 23 p) Viewer Annual Revenues.
24 q) Viewer Browser (what browser viewer must have) r) Inter-ad Delay (minimum time between placement of ads to a particular 26 viewer) i 1 s) Rotation Delay (delay between placement of ads which are part of a series) 2 t) List of ads in a rotation ..(a list of ads that are placed in sequence ,see example below) 3 u) Other (Other criteria that advertiser may care to specify. Naturally, 4 the bidding agent which receives a proposed bid must be programmed to compare the criteria specified in a bid to the data available concerning a view-op) 8 Bidding input server 18 includes a conventional data input program that allows entry of 9 proposed bids with fields such as those listed the above. Each proposed bid is transmitted to a bidding agent 30. There is one bidding agent 30 for each proposed bid 11 that is submitted. A system may include thousands of bidding agent programs 30. ft 12 should be understood that bidding agents 30 are conventional computer programs that 13 evaluate proposed bids against the characteristics of a view-op to determine if a bid 14 should be submitted to view server 320.
1fi Bid input system 18 also transmits information to view server 320. For example the 17 budget and identity of each advertiser is transmitted from bid input server 18 to AAD table 18 412. Entry, transfer and storage of such information is done using conventional data 19 base techniques.
21 in the particular embodiment of the invention shown herein, the bidding agent programs 22 30 perform the operations shown in Figure 5 relative to each level of each proposed bid.
23 As previously indicated each proposed bid may include several bid levels.
All of the 24 above elements are repeated in each element. The process shown in Figure 5 is executed for each level of each proposed bid. The Level 0 level is "run"
first, the Level 1 26 next, and so on. This means that level 0 requirements are evaluated first.
If they 1 succeed, the bid is placed as dictated in that level's data. Otherwise Level 1 requirements 2 are checked, and so on. Each level's requirements can be totally independent, but 3 preferably they should get successively less strict, such that the proposed bid value 4 decreases.
6 The program shown in Figure 5 is executed for every view-op. It first uses the 7 specifications for Level 0, then on "NEXT," or a failure to meet criteria for a level, it starts 8 over with the next level's criteria. The proposed bid evaluation program shown in Figure 9 5 pertorms tests such as the tests shown below upon a proposed bid prior to submitting an actual bid to view server 320. It should be understood that the test below are merely 11 illustrative and any variety of tests can be performed in comparing the characteristics of a 12 view-op with the specifications in a proposed bid. The tests required is limited solely by 13 the desires of the advertiser. Programming for performing such tests and comparisons 14 between specified characteristics of a view-op and specifications in a proposed bid is conventional programming. In the illustration given in Figure 5, the following tests are 16 performed by the bidding agent program.
17 Block 501: If Include site List is specified and WS (Web Site ID) is not in include site List 18 go to DONE, if not go to next test.
19 Block 502: If Exclude site List specified and WS (Web Site ID) in Exclude site List go to GONE, if not go to next test. ' 21 Block 503: If Browser specified and no match with Browser being used, go to DONE, if 22 not go to next test.
23 Block 504: If MIN site bid < MAX Agent bid go to DONE, if not go to next test (note that a 24 web site can specify a minimum amount (Min site bid) that the site will accept for displaying an advertisement).
26 Block 505: If Viewer OS specified and no match go to DONE, if not go to next test.
i~
1 Block 506: If Viewer Zipcode specified and no match go to DONE, if not go to next test.
2 Block 507: If Viewer US State specified and no match go to DONE, if not go to next test.
3 Block 508: If Viewer Domain specified and no match go to DONE, if not go to next test.
4 Block 509: If Viewer ISP specified and no match go to DONE, if not go to next test.
Block 510: If Viewer Country specified and no match go to DONE, if not go to next test.
6 Block 511: If Viewer SIC code specified and no match go to DONE, if not go to next test.
7 Block 512: If Viewer # of employees specified and no match go to DONE, if not go to next 8 test.
9 Block 513: If Viewer Annual Revenues specified and no match go to DONE, if not go to next test.
11 Block 514: If Time List specified and current time not in Time List go to DONE, if not go to 12 next test.
13 Block 515: If Keywords fist specified and Keywords not in Site Keywords List go to DONE, 14 if not go to next test.
Block 516: If MAX Agent click-through bid specified and MIN site click-through bid then if 16 MIN site click-through bid < MAX , Agent click-through bid go to DONE, if not go to 17 next test.
18 Block 517: if No CT (content type) match in Ad list go to DONE, if not go to next test.
19 Block 518: If InterAd Time Interval specified then Compute (block 519) (scan for) LastAdViewer for this CU (Last time this viewer saw an ad fulfilled from this agent) 21 from SOD List of 100.
22 Block 520: If InterAd Time interval and if TimeStamp of LastAdViewer <
inter Ad Time 23 Interval go to done, if not go to next test.
24 Block 521: If Frequency specified perform block 522, that is, Count (scan) SOD per CU for ads sold by this agent. (Block 522A) If this count > Frequency go to DONE, if not 26 go to next test.
1 Block 523 If no LastAdViewer (no record of serving this Viewer) go to done, if not go to 2 next test.
3 Block 523A if interAdTimelnterval specified then if TimeStamp of Last Ad Serve < Inter Ad 4 Time interval go to DONE, if not go to next step.
Block 524: TRY TO BUY AD with the following steps:
6 Block 525: Select Next Ad to Serve based on CT match, LastAdViewer or Last Ad Served 7 Block 526: Submit BID: Include in the bid submitted to view server 320, the ad ID in the 8 form of an index that can be used by web server 310 to select a bid from ad table 16A for display.
Block 528: The process is DONE
12 The process that the web server 320 follows when it receives a view-op is shown in 13 Figures 6A to 6E. The process includes the following steps:
Begin Process Figure 6A' 16 Block 601: The process begins when the view server 320 receives aViewOpDrive() call.
17 That is when Raw view-op Data is sent to view server 320.
18 Block 605: Establish an area in memory for VOD structure (we will write to this area) 19 Block 606: Parse the Domain Block 607: Parse Accepts (map this to CT) 21 Block 608: Parse the Browser field 22 Block 609: Write SP, WS, and Cookie to the VOD
23 Block 610: Create New view-op record in SOD
24 Block 611: Write available information about view-op to new record in SOD
Block 612: Write TS to SOD
26 Block 614: Check to see If Cookie = 0 (Is there a Cookie in the request) 1 Block 615: If Cookie = 0 select on CUD where there is a Cookie match 2 Block 616: If Cookie not = 0 Select on CUD using other heuristics of viewer 3 Block 617: Set (or clear) VOD.CU
4 Block 620: check if there is a current viewer.
Block 621: if CU = 0 insert new viewer in CUD
6 Block 623 Insert the new CUD rec. in CUD
7 Block 622: Write CUD record to VOD
8 Block 630: Select from SOD where CU = VOD.CU for 100 order by TS into VOD
and go to 9 next procedure. This selects the 100 most current purchases that were presented to the particular viewer. Write to VOD
11 Block 631: Sefect from HUD where CU,SP,SW all match for 100 most recent records in 12 VOD. Write to VOD
13 Block 632: Select from AAD for every active budget. Write to VOD (Write any other data 14 needed by bidding agents to VOD) Block 634 Send VOD data to Bidding Agents. Each bidding agent run its logic (see 16 Figure 5) 17 Block 635: Bidding agents send result to View Server 320 18 . (This following is the process where bid selection logic 16C in view server 620 19 picks the best bid) Block 641: Pick maximum bid 21 Block 642: Update AAD data 22 Block 643 Check for expiration of bidding agent in AAD table 23 Block 644: Set VOD info to winner and go to next procedure.
24 Block 645: check if CUD exceeds its maximum.
Block 646 if block 645 answer is yes, Select oldest CUD record, Post it to a CUD archive 26 file.
..~ ,~
1 Block 650: check if CUD > MAXSIZE .
2 Block 651: If block 650 answer is yes, Delete oldest CUD record and proceed.
3 Block 653: Compose the SOD record from VOD data.
4 Block 654: Insert SOD record.
Block 655: check if count of SOD records > MAXSIZE: if no go to next procedure.
6 Block 656: If block 655 answer is yes, Select oldest SOD record , POST it to an archive 7 file and go to next procedure.
8 Block 660: check if count of SOD records > MAXSIZE, if answer is no, go to next 9 procedure Block 661: If answer to block 660 is yes, delete oldest SOD record.
11 Block 662. Select from HUD for CU, SP, SW, current time interval. That is, select for this 12 current viewer, for this bidding agent, on this web site, for this time interval.
13 Block 663: Write data to VOD and go to next procedure .
14 Block 664, Check if HUD Rec == 0 That is, if HUD record was found Block 665, if no HUD record found, Insert New HUD rec .
16 Block 666: If HUD record was found, Update existing HUD rec.
17 Block 670: check if new Hud Rec was inserted and count > MAXSIZE .
18 Block 671: if answer to block 670 is yes, Delete oldest HUD rec.
19 Block 672: Create Accounting Rec. from VOD data.
Block 673: POST the data to an archive fife 21 Block 674: Post ad info to web server 310. That is, tell web server 310 which ad to 22 display.
23 Block 675: Dequeue, Delete the VOD. This is the end of the procedure. It starts again at 24 the next view-op.
1 The series of steps shown in Figures 6A to 6S are the procedural operation performed by 2 the view server 320. These can be programmed using any of the conventional 3 programming languages such as SQL. The particular computer used to perform the 4 program is of no particular consequence so long as it is fast enough to provide a reasonable degree of pertormance. In order to speed the operation of the system if there 6 is a large number of bidding agents 30, the bid selection logic 16C may be implemented 7 using hard wired logical circuitry rather than by utilizing a computer program. The 8 programming or circuitry in bid selection logic 16C is conventional. It merely receives the 9 bids from each of the bidding agents 30 and selects the highest bid and then transfers the ad index for this bid to web server 310 and transfers other information about the bid to the 11 data tables 16B and to log and billing unit 320A.
13 Web Server 310: The web server 310 is a conventional web server which is programmed 14 to provide two main functions:
1 ) Answer and hold the state of each HTTP request; deliver the view-op to the system 16 kernel in view server 320; receive the system kernel reply and deliver the content.
17 This is a multi-task operation. The contents (the IP data) of each view op, along 18 with its type (either a request for content or a click-through) are delivered to the 19 view server 320. This communication is through shared memory or alternatively it may be through a conventional inter-computer network.
21 2) Install and remove Ad content separately, and asynchronously. Service requests to 22 install (store) and remove (delete) ads from data base 16A. On an install, the web 23 server returns a WC, a handle or index to the location of the ad. WCs should be 24 unique for the life of the system. This is done by a conventional data base program.
1 Bid input server 18 is a conventional data base server which accepts information and 2 delivers it to the tables in view server 320 and to bidding agents 30. Bid input server 18 3 provides a data input mechanism for the system. Data table 18-T in bid input server 18 4 stores the identity of each of the advertisers and the particular bidding agents 30 to which bids from that advertiser should be sent. Bidding agents 30 can all be identical or 6 alternatively some may have capability for evaluating more complex criteria in proposed 7 bids. The data table 18T stores information which indicates which bidding agent should 8 receive proposed bids from which advertisers. Bid input Server 18 is a conventional data 9 base input unit.
11 The log and billing unit 320A is a conventional data base program that provides 12 conventional log and billing functions. As concerning users and web sites becomes old 13 and stale, it is transmitted to an archive in log and billing unit 320A. A
log of all 14 transactions that takes place in the system is also maintained by unit 320A. This is done using conventional programming techniques.
17 In the figures, only one web browser 11 is shown. It should be understood that web 18 browser 11 is merely representative of the web browsers connected to the Internet world 19 wide web. Web server 310 is connected to the Internet and hence it can receive HTML
references from any of the millions of browsers connected to the Internet. Web browser 21 11 is merely illustrative of one of the browsers connected to the Internet.
23 The specifics of the various data bases, the specifics of the various fields in the data 24 bases, and the specifics of the form used to submit a bid, the parameters that are considered in evaluating bids, as shown herein are illustrative only and various changes 26 in the data bases, the fields and the parameters along with changes in the operation of 1 these details of the system could be made without departing from the spirit and scope of 2 the invention.
4 Specific data can be introduced into data base 16B in a number of ways. Some of the data is collected as previously described as the system operates. Other data can be 6 viewer registration data, that is data obtained when viewer register at related web sites.
7 Likewise viewer history data in data base 16B can be collected as the system operates or 8 it can be purchased from commercial sources and entered into data base 16B
as a batch 9 of information. Web site demographic data can be collected from commercially available sources and entered into data base 16D.
12 The specific data collected in data base 16B is determined by the criteria that advertisers 13 want to establish in proposed bids. Data base 16B can store any type of information that 14 advertisers care to specify in proposed bids. Any data that advertisers want to use in setting specifications in proposed bids can be stored in tables 16B using conventional 16 data base technology. This data is transferred to the VOD area of memory and to the 17 bidding agents 30 when a view-op occurs. Bidding agents 30 must be programmed to 18 compare the data received from the VOD to the specifications in a proposed bid to 19 determine if an actual bid should be submitted.
21 It is herein assumed that a viewer always accesses the world wide web using the same 22 browser, so that the cookie in a browser accurately reflects what a viewer has done. It is 23 also assumed that only one viewer uses a particular browser, again so that the cookie in 24 the browser accurately reflects what the particular viewer has done. If different individuals use different sign-on names with the same browser, or if different individuals who use the 1 same browser othenrvise identify themselves to the system, they can be assigned 2 separate Ilcodes even though they use the same browser..
4 It is also noted that a system could combine the operation of the present invention with the operation of the prior art type of system where access to advertising on particular web 6 sites is sold for a specified amount. An operator of the system could sell "pre-buys", that 7 is, access to the view-ops that occur on a particular site and the operator could insure that 8 a particular advertiser always has access to these view-ops as done by the prior art 9 systems. This could be done by merely entering into the system proposed bids with a value that is the maximum allowed by the system for those particular view-ops that are 11 sold as pre-buys.
13 An alternative embodiment of the invention is shown in Figure 7. The system shown in 14 Figure 7 is designed to minimize latency due to Internet topographical distance between units.
17 The embodiment shown in Figure 7 is a geographically distributed system which includes 18 three systems 716A, 7168 and 716C each of which are identical to systems 16 shown in 19 Figures 1 and 3. Each of the systems 716A, 7168, and 716C have associated bidding agents 730A, 7308 and 730C. Each of the systems 716A, 7168 and 7126C is located a 21 different geographic area.
23 Client browser 711 sends web HTML references (such as those sent from browser 11 to 24 web server 310) to a commercial Internet service provider (an 1SP) 712. The ISP in turn sends an HTML reference to the system 716A, 7168 or 716C which is "topographically"
26 closest to the browser 711. For example, the three systems 716A, 7168 and 716C could i~
WO 98134189 PCT/i1S98/00386 1 be located on different continents, one in the U.S., one in Europe and one in Japan. With 2 the system shown in figure 7, HTML references from browsers in Europe would be 3 directed to the system in Europe, HTML references from browsers in the U.S.
would be 4 directed to the system in the U.S. etc. The bid input unit 718 sends each proposed bid to bidding agents 730 associated with each system. Thus, the systems 716A, 7168 and 6 716C evaluate each proposed bid against the particular view-ops that are directed to each 7 particular system. While for purposes of illustration, three systems 716A, 7168 and 716C
8 are shown, any number of such systems could be connected in an overall network of 9 systems.
11 While the invention has been shown and described with reference to preferred 12 embodiments thereof, i# should be understood that other embodiments are possible and 13 that various changes in form and detail may be made without departing from the spirit of 14 the invention. The scope of the invention is limited solely by the appended claims.
77 I claim:
16 Advertisers who use such prior art systems must specify in advance, the targeting criteria 17 they want to use for their advertisements. The central server then provides 18 advertisements to viewers based upon (a) the targeting criteria provided by the 19 advertisers (b) the information which the central server has in its data base concerning the particular viewer, (c) information about the web site that has been accessed by the viewer 21 and (d) other information available to the central server such as the time of day.
1 Summary of the present invention 2 The present invention provides an improved method and system for providing 3 advertisements from a central server to viewers who access web sites. With the present 4 invention the central server system stores both advertisements which are to be displayed and an information data base. The data base includes information about viewers, 6 information about the characteristics of particular web sites and other information relevant 7 to which advertisements should be displayed for particular viewers. In contrast to the prior 8 art systems, the present invention evaluates, in real time, bids submitted by different 9 advertisers in order to determine which particular advertisement will be displayed to a viewer.
12 The fact that a viewer has accessed a web page which has an HTML reference to the 13 advertising server of the present invention, is herein referred to as a view opportunity or 14 view-op. The characteristics of each view-op inctude the characteristics of the particular web site and web page being accessed and the characteristics of the viewer including 16 demographic information about the viewer and information as to what other sites this 17 viewer has accessed in various periods of time.
19 With the present invention each advertiser provides one or more "proposed bids" which specify how much the advertiser is willing to pay for displaying a particular advertisement 21 in response to a view-op with certain characteristics. Each proposed bid can specify a 22 price or amount that the advertiser is willing to pay for the opportunity to display an 23 advertisement (a) to a viewer who has a particular set of characteristics and (b) on a web 24 site and web page that meets a particular set of criteria. Each proposed bid can be ' 25 dependent upon or require satisfaction of various criteria which must be met in order for a 26 bid of a particular amount to be submitted. For example an advertiser might specify that i 1 the first one thousand times that view-ops meeting certain criteria occurs, a bid of five 2 cents will be submitted and each time thereafter that a view-op meeting the criteria occurs 3 a bid of one cent will be submitted. The amount bid for a view-op can be dependent on 4 as many criteria as the advertiser cares to specify. Another example is that an advertiser might bid ten cents if the view-op was by a viewer who had recently visited a particular 6 web page and one cent for the same view-op if the viewer had not recently visited the 7 particular web page. Yet another example of a parameter which could be specified in a 8 proposed bid is the "click-through" rate for the particular site where the view-op originated.
9 The click-through rate is the rate at which viewers click on an advertisement to access the advertiser's web site. Thus, the bidding parameters can either be simple or complex.
12 The present invention includes (a) a web server system which has data bases stored 13 therein, (b) bidding agents which compare the characteristics of view-ops to the 14 specifications in proposed bids and which submit bids as appropriate, and (c) bid selection logic which decides which bid to accept for each particular view-op.
17 With the present invention, when a view-op arises, the bidding agents evaluate the 98 characteristics of the view-op compared to the specifications in proposed bids and the 19 bidding agents submit bids to the bid selection logic where appropriate.
Next, the bid selection logic selects the highest bid from the various available bids and the 21 advertisement which is specified in the highest bid is displayed. The novel aspect of the 22 present invention is the organization, operation and interaction between the bidding 23 agents, the server which provides information to the bidding agents, the bid selection logic 24 and the associated mechanisms for presenting the advertisements.
1 The present invention provides a very flexible system whereby advertisers can minimize 2 cost and maximize effectiveness while the owner of web sites can obtain the highest 3 possible revenue for displaying advertisements on their site.
Brief Description of the Drawings 6 Figure 1 is a simplified system block diagram of a preferred embodiment of the invention.
8 Figures 2A and 2B are simplified block flow diagrams of the operation of the invention.
Figure 3 is an overall block diagram of a preferred embodiment of the invention.
12 Figure 4 is a diagram showing the organization of various tables which are utilized by the 13 present invention.
Figures 5A to 5C are flow diagrams showing how each view-op is evaluated or tested to 16 determine if a bid should be submitted.
18 Figures 6A to 6E are flow diagrams showing the operation of the system.
Figure 7 is a block diagram of an alternate embodiment of the invention.
22 Detailed Description of embodiments of the invention 23 In order to explain the principles of the invention, an overall simplified diagram of a first 24 preferred embodiment of the invention is shown in Figure 1 and a simplified block diagram of the operation of the system is shown in Figures 2A and 2B. After the principles of the m WO 98!34189 PCT/US98100386 1 invention have been explained with reference to Figures 1 and 2, the first preferred 2 embodiment of the invention is described with reference to Figures 3 to 6.
4 As shown in Figure 1, a human viewer 10 utilizes a client browser 11 to access a web page 12 on a web site 14. The web page 12 is transmitted to browser 11 in a 6 conventional manner. Web page 12 includes an HTML reference to a file {i.e.
an 7 advertisement) located on an advertising web server system 16. The client browser 11 8 has what is known in the art as a "cookie" 11A which provides information from browser 9 11 to the web server system 16. The client browser 11, the cookie 11 A, the web site 14 and the web page 12 are all conventional and in widespread use. For example, the client 11 browser 11 could be one of the commercially available web browsers, for example, the 12 commercially available and widely used web browser marketed by Netscape 13 Communications Corp. under the trademark "Netscape Navigator". The web site 14 and 14 the web page 12 could be any of the thousands of web sites and web pages which are part of the World Wide Web and which have HTML references to advertisements which 16 are located on a remote server.
17 Web page 12 includes an HTML reference to an advertisement stored on advertising web 18 server system 16. Each time client browser 11 displays web page 12, the human viewer 19 10 will see an advertisement which is provided by advertising web server system 16.
Such HTML references are in widespread use and they are implemented using 21 conventional HTML tags. Advertising web server system 16 includes a data base of 22 advertisements 16A, a data base of viewer information 16B, and a bid selection logic 16C.
23 The bid selection logic 16C receives bids from bidding agents 30A to 30Z
which in turn 24 receive information concerning proposed bids from bid input system 18. For purposes of illustration only three identical bidding agents 30A) 30B and 30Z are specifically shown.
1 The reference number 30 will be used to refer to a typical bidding agent. It should be 2 understood that the system could include any number of bidding agents. For example, a 3 system could include several thousand bidding agents 30. Bid input system 18 provides 4 bidding agents 30 with proposed bids which specify how much should be bid for view-ops - 5 with particular characteristics. Each bidding agents 30 evaluates each view-op to B determine if the view-op meets the criteria specified in a particular proposed bid and if so 7 how much should be bid.
9 Each bidding agent 30 evaluates a view-op with respect to one proposed bid to determine if a bid should be submitted. Each proposed bid includes a list of parameters which 11 specify the particular type of viewer which the advertiser wants to reach.
For example, a 12 proposed bid might specify that the advertiser is wilting to pay five cents for the 13 opportunity to place an advertisement on a web page which is accessed by a viewer who 14 has accessed three financial web pages and an automotive web page within the last week.
17 In general the system includes one bidding agent 30 for each proposed bid (see later 18 discussion about multi-level bids). Each advertiser would have an associated bidding 19 agent 30 for each ad campaign the advertiser wants to conduct. Advertisers submit proposed bids to their associated bidding agents for evaluation against view-ops. Bidding 21 agents 30 can be simple or complex and if desired they can have the ability to evaluate 22 more than one proposed bid to determine what bid should be submitted to the bid 23 selection logic 16C.
1 When a view-op presents itself (i.e. when viewer 10 accesses a web page 11 which 2 contains an NTML reference to server system 16) the advertising web server system 16 3 pertorms four operations:
4 ( 1 ) It updates the information about the viewer which is in data base 16B.
(2) It sends information concerning the view-op to the bidding agents 30. The 6 information sent includes information that the server system 16 received from 7 browser 11 and information in data base 16B. Bidding agents 30 in turn decide 8 which bids to submit to bid selection logic 16C.
9 (3) It compares various bids received from bidding agents 30 in order to determine which advertisement to display.
11 (4) It sends the appropriate advertisement from data base 16A to browser 11.
13 The operations performed by advertising web server system 16 are shown in Figures 2A
14 and 2B. Figure 2A shows how server system 16 uses the information from cookie 11 A to update the data base of viewer information 168 to reflect the fact that this particular 16 viewer has accessed this particular web page. The operations proceed as shown by 17 blocks 201 to 203. Block 201 indicates that a viewer has selected web page 12 and that 18 the selected web page has been transmitted to the viewer's browser 11. As indicated by 19 block 202, web page 12 has an HTML reference to a fife on server system 16 using conventional HTML techniques. Block 203 indicates that the server 16 then obtains data 21 from cookie 11A to update the data base of viewer information 16B.
23 When a viewer 10 accesses web page 12, which has an HTML reference to server 24 system 16, the present invention determines which advertisement from data base 16A to present to the viewer. The manner in which the system pertorms these operations is 26 shown by block diagram 28. For example, one advertiser might have submitted a 1 proposed bid to bidding agent 30A which specified that he is willing to pay five cents for 2 displaying an ad to a viewer who has accessed at least three financially oriented data 3 bases within the last week. Another advertiser might have submitted a proposed bid to 4 bidding agent 30B specifying that he is willing to pay six cents for displaying an advertisement to a viewer that has accessed at least three financially oriented data bases 6 with the last five days. When a view-op occurs which is initiated by a viewer 10 who has 7 accessed three financially oriented data bases in the last five days, bidding agents 30A
8 and 30B would determine that the particular view-op satisfies the criteria specified by both 9 advertisers. Both bids would be submitted to bid selection logic 16C and bid selection logic 16C would then select the highest bid and the advertisement specified by that 11 advertiser would be displayed to the viewer. The criteria specified by the advertisers may 12 be much more complex and involve many more parameters than those given in the simple 13 example specified above. However, notwithstanding the complexity of the proposed bids 14 and the number of parameters specified in each proposed bid, the operations performed by bidding agents 30 and by bid selection logic 16C are as explained in the above simple 16 example.
18 As shown in Figure 2B, a cycle of operation begins (block 210) when a viewer 10 selects 19 a web page 12 which has a HTML reference to web server system 16, that is, when a view-op occurs. It is noted that this occurs in real time and it can take place thousands of 21 times per minute. Block 211 indicates that the web server system 16 sends information 22 concerning the view-op and related information in the data base 16B to the bidding 23 agents 30. The bidding agents 30 compare the information about the view-op to the 24 proposed bids that have been submitted by advertisers. That is, the bidding agents 30 determine if the characteristics of the view-op meet the criteria in the proposed bids and if 28 so they submit bids to bid selection logic 16C (block 213). As shown by block 214, the bid m 1 selection logic 16C compares various bids and selects the highest bid and therefore an 2 advertisement for display. The appropriate advertisement called for by the winning bid is 3 then sent from data base 1fiA to browser 11 (block 215).
Block 212 indicates that each advertiser submits proposed bids, each of which includes 6 various parameters which, for example, specify the type of web page on which the 7 advertiser wants to advertise and an amount, (i.e. the dollar amount) which the advertiser 8 is willing to pay for having a particular advertisement displayed. Details of the various 9 parameters which can be included in a proposed bid are explained later.
11 In order to understand the power of the present sys#em and its differences from the prior 12 art, it is important to realize that the bidding agents 30 evaluate proposed bids in 13 microseconds, that is, in real time. The rate at which "hits" on web pages occur (i.e. the 14 rate at which viewers access web pages that have HTML reference to server system 16 ) can be in the order of thousands per second. Thus, the evaluation of proposed bids is 16 pertormed very quickly in real time. Proposed bids can contain parameters which specify 17 that a proposed bid will in effect change in real time. For example a proposed bid might 18 specify that for the first 1000 matching view-ops) the proposed bid will be five cents and 19 for the next 1000 matching view-ops the proposed bid will be four cents.
The actual submission of proposed bids by advertisers and the rate at which advertisers can change 21 their proposed bids is measured in minutes compared to the rate at which the system 22 evaluates proposed bids which is in the order of microseconds.
24 The operation of the browser 11, the operation of the web server 14 , and the manner in which web pages produce HTML references to web server system 16 using the HTTP
26 protocol and HTML mark up language are described in numerous published books such 1 as :"HTML Source Book A Complete Guide to HTML" by IAN S. Graham, published by 2 John Wiley and Sons (ISBN 0 471-11849-4) or "The Internet Compete Reference"
by 3 Harley Hahn and Rick Stout, published by Osborne McGraw-Hill, ISBM 0 07-881980-6.
4 Numerous other books are also available which describe the HTTP protocol.
Such books describe how a browser, such as 11, can access a web page, such as web page 12, 6 which in turn has an HTML reference to a file (i.e. an advertisement) stored on a server 7 such as advertising server system 16.
9 A more detailed block diagram of the preferred embodiment of the invention is shown in Figure 3. Numerous additions and changes can be made in the preferred embodiment 11 shown in Figure 3 without departing from the spirit of the invention. As will be explained 12 later with reference to Figure 7, a number of systems, each identical to the system shown 13 in Figure 3, (and each of which is at a different geographic location) can be 14 interconnected into a network so as to more efficiently service view-op requests.
16 As shown in Figure 3, the preferred embodiment is composed of five main units, namely, 17 Web server 310, view server 320 (servers 310 and 320 together comprise the advertising 18 web server system 16 shown in Figure 1) , identical bidding agents 30A, 30B
and 30Z, 19 bid input server 18 and log and billing unit 320A. As stated with respect to Figure 1, a system can include any number of bidding agents: A typical system could include a 21 thousand or more bidding agents. For clarity of illustration only three bidding agents 30A, 22 30B and 30Z are specifically shown in Figure 3. Hereinafter the term bidding agent 30 23 will refer to one representative bidding agent. It should be understood that there could be 24 many bidding agents 30 in a system.
1 Bidding agents 30 evaluate bids to determine if a particular view-op meets the criteria of a 2 particular bid. That is, bidding agents 30 compare the specifications in a proposed bid to 3 the characteristics of a view-op. An example of the comparison process is explained later 4 with reference to Figure 5. Bid selection logic 16C in view server 320 determines which advertisement will be displayed, that is, which is the highest bid for each particular view-6 op.
8 The web client browser 11 accesses web sites {such as site 14 ) using the conventional 9 HTTP protocol. The present invention begins to function when the web page which is accessed by browser 11 contains a conventional Internet HTML reference to web server 11 310.
13 The web server 310 provides an advertisement to web client browser 11 in response to an 14 HTML reference. Such an operation is conventional. The function of the present invention is to determine which particular advertisement from data base 16A
will be 16 provided in response to each HTML reference from web client browser 11 to web server 17 310.
19 The web server 310, view server 320, bidding agents 30 and bid input server 18 can all be implemented by computer programs that are alf resident in and executed by one single 21 physical computer. Alternatively, each of the components may be implemented in 22 separate physical computers connected by a conventional inter-computer network. The 23 decision concerning implementation is a single computer or in a group of interconnected 24 computers depends upon the cost, capacity and speed of the available computers. With respec# to the explanation of the operation of the present invention, it is not relevant as to 1 whether or not the various components are implemented in a single computer or in a 2 network of interconnected computers.
4 The web server 310 can be implemented using conventional commercially available web server technology. For example, the commercially available web server marketed under 6 the tradename Zeus can be used to implement web server 310. The operating system 7 used in web server 310 is conventional and is not described herein. It could for example 8 be the conventional Unix operationg system Likewise view server 320 and bid input 9 server 18 have a conventional operating system such as the Unix operating system. The processes and programs described herein run as application programs under such a 11 conventional and commercially available operating system.
13 When web server 310 receives an HTTP request or HTML reference (a view-op), it 14 delivers the contents the view-op to the view server 320. View server 320 in turn sends information concerning the view-op to bidding agents 30. Bidding agents 30 in turn 16 evaluate the characteristics of the view-op (which includes information supplied by server 17 320) against the criteria specified in each proposed bid. If the characteristics of a view-op 18 meet the criteria in a proposed bid, a bidding agent 30 will submit a bid to view server 19 320. After receiving input from bidding agents 30 (that is from all the bidding agents 30 that submit bids) the bid selection logic 16C in view server 320 selects the highest bid 21 and indicates to web server 310 which advertisement should be displayed in response to 22 the view-op. !n response to the input from view server 320, the web server 310 delivers 23 the appropriate advertisement to the web client 11 Bidding agents 30 must be programmed to evaluate proposed bids in a certain amount of 26 time and to submit actual bids to server 320 within pre-established time limits. If server ~ i WO 98134189 PCT/CTS98/0038b 1 320 does not receive a bid from a particular bidding agent 30 within a certain time, it 2 assumes that it will not receive a bid from that bidding agent and it selects the highest bid 3 from the bids received from the other bidding agents.
The main functionality or the "kernel" of the system is implemented in the view server 320 6 and in bidding agents 30. View server 320 has a number of tables, and conventional data 7 base functionality for querying, inserting, updating and deleting data from the tables. The 8 data base capabilities may be implemented using a conventional commercially available 9 Structured Query Language (SQL) data base such as one of the data bases marketed by Oracle Corp. or the data base marketed by Microsoft Corp. under the tradename 11 "Access". Alternatively, these tables can be implemented using specially written 12 programming which optimizes the speed of certain operations.
14 View server 320 and bidding agents 30 are each objects (in the CORBA or Common Object Request Broker Request sense), they are persistent, and they can be moved 16 across machine or network boundaries. Naturally pertormance is impacted depending 17 upon whether or not these objects are implemented in one computer or in a network of 18 connected computers. As is conventional, indexing techniques can be used in order to 19 increase speed of operation related to the various tables.
21 The following terms are used herein with the following meaning:
22 Ad-Serve: Placing or "pumping" advertising content in an HTTP reply to a view-op. Note, 23 putting advertising content in an HTTP reply results in an advertisement being 24 displayed by a browser so that it can be seen by a Viewer.
_1d-Script: A script or mark up language for establishing bidding logic.
1 Bidding Agent A unit, computer program or agent (in the programming sense) that 2 evaluates the characteristics of a view-op to determine if the criteria or parameters 3 set out in a particular proposed bid meets the specifications of a particular view-4 oP.
Click-through: The event that occurs when a Viewer clicks on an advertisement and is 6 hyperlinked to new content.
7 Exposure: The number of ad serves for a particular advertisement.
8 Frepuency: Number of times each viewer (on average) will be exposed to an advertisement. in general the frequency is equal to the total number of exposures divided by the reach number.
11 //CODE: A standard identifier assigned to individual viewers. //Codes are used as 12 registration information by many web sites. Interact Profiles Corporation offers a 13 commercial service which collects in-depth demographic information about viewers 14 for whom it issues or assigns //Codes. This information or other similar information about viewers is stored in table 16B.
16 Internet: The global information system that is logically linked together by a globally unique address space based on the Internet Protocol (IP). The Internet is able to 18 support communications using the Transmission Control Protocolllnternet Protocol 19 (TCP/IP) suite.
IP Data: Data about the viewer which is specified using the Internet protocol.
The IP data 21 about a viewer is presented to the system at view-op time in accordance with 22 standard HTTP conventions. The IP data is defined by standard HTTP
23 conventions and it includes: CGI (common graphic interface) variables, Browser 24 type {e.g. Netscape), viewers URL, high-level domain (.edu, .gov, .com" OS
of viewer (MAC, Windows, etc.), host, IP address, and URL of referring Web page.
1 Maximum Bid Price: This is the maximum amount that can be specified when placing bids 2 on behalf of a bidding agent. (see Minimize Bid).
3 Minimize Bid: This is an option that the media buyer (i.e. the person who buys the 4 advertising) can set on or oft (it is set for each media buy). If the option is set "on"
then the system will try to bid the minimum amount necessary to maintain the level 6 of buying that will ensure the desired number of impressions during the time 7 allotted to the media buy. The amount bid will be increased as need to maintain 8 the desired level of buying; however, it will never be increased beyond the 9 maximum bid.
Pre~buy: The purchase of the right to display an advertisement in response to particular 11 view-ops for a specified amount.
12 Proposed Bid: This is an offer to pay a particular amount for the opportunity to provide an 13 advertisement in response to a view-op that has certain characteristics. If a view 14 op satisfies the criteria specified in a proposed bid an actual bid (called a bid) is submitted to the bid selection logic 16C.
16 Reach: The total number of unique viewers the advertiser wants to reach with the media 17 buy. Cannot exceed the total number of exposures.
18 Recently Seen Ad Data: Information relating to the most recent advertisements served to 19 a unique or particular viewer.
Spot Buy: A decision to purchase a particular view-op for a specified amount which is 21 made in real time.
22 View-Op: The opportunity to serve an advertisement to a viewer that occurs when a web 23 browser makes a request for content by referencing to a server. This is the basic 24 unit of "perishable inventory" that advertisers buy.
View-time: The length of time that a viewer looks at an advertisement.
26 Viewer: A person who accesses a page on a web site and receives an Ad-Serve.
1 Viewer History Data: Historical data about a unique or particular viewer.
This may include 2 such information as previous viewing habits, purchases, click-throughs, etc.
3 Viewer Registration Data: Data collected by a web site (at viewer registration time) 4 including age, sex, income, etc. The uploading of this data to the server data base is performed in non-real-time.
6 Web Avail: Seller's inventory, that is, a slot for advertising content.
"Avail" is an 7 advertising term. Web avail is the equivalent term applied to the world wide web.
8 Web Paae Data: Data concerning a web page such as: keywords, stock categorizations.
Also includes (non-real time) third party-supplied data, as well as data provided by the system operator with respect to traffic, pricing, etc. concerning a particular site.
11 Web Site Demographic Data: This is data about a specific web site.
12 Web Site: A term conventionally used in connection with the World Wide Web.
Usually 13 an Ad space provider (seller).
The system utilizes a number of data tables 16B which are stored in the view server 320.
16 The structure of tables 168 are shown in normalized form in Figure 4. The system also 17 utilizes an area of memory for temporarily storing certain information.
This area of 18 memory is called the VOD area of memory. It should be understood, that as is 19 conventional, some of the data in the tables 16B can be stored in program structures and indexes which can then be used to access the data in order to increase speed.
For best 21 pertormance all of the tables 16B must be located in RAM.
23 As shown in Figure 4, there are four tables referred to as HUD, SOD, CUD, AAD and one 24 special area of memory referred to as VOD. The four tables and the special area of memory are:
WO 98/34189 PCT/iJS98/00386 1 HUD table 408: This table stores Historic Viewer Data. It indicates which sites each 2 viewer has previously accessed.
3 SOD table 409: This table identifies the previously "sold" view-ops. This table tells who 4 previously bought which view-ops.
S CUD table 410: This table identifies viewers and their characteristics. .
6 AAD table 412: This table identifies every active advertiser. There is a record in this table 7 for every active advertiser.
8 VOD area of memory 415: This area temporarily holds data which is being transferred to 9 the bidding agents.
A conventional notation system is used to identify fields herein.
Substructures of a main 11 structure are designated by using the name of the main structure, followed by a period, 12 followed by the name of the substructure. For example CUD.LST means the LST
field of 13 the CUD table.
The fields in the tables shown in Figure 4 are identified using the following abbreviations:
1fi 17 HUD table 4o8 (Historic Viewer Data, which sites each viewer has previously accessed) 18 1 ) WS Web Site ID Site where ad was placed 19 2) SP Site Page iD Page where ad was placed 3) CU Current Viewer ID, this is, who saw the particular web site, the llCode.
21 4) TI Time Interval 22 5) N Number of time the viewer CU visited the site in the time interval TI
24 SOD table 409 : (who previously bought which view-ops) 1 ) AA An identification of the bidding agent who purchased a view-op.
26 2) PP Purchase Price Purchase price for this view-op 27 3) CU Current Viewer ID i/Code of who saw the ad 1 4) WS Web Site ID where ad was placed 2 5) SP Site Page ID where ad was placed 3 6) TS TimeStamp when placed 4 ~) AC Agent Content ID of ad that was placed 8) AJ Agent Jump ID of where click-throughs go 6 9) TSC TimeStamp when click-through happened, (0 for none) 7 10) VO View-op ID each view-op has a unique ID..
9 CUD table 410 (viewers and their characteristics) 1 ) LTS Last Seen Time Stamp, that is, time this viewer was last seen by the system 11 2) IP Internet Protocol address (from REMOTE_HOST) 12 3) DN Domain name Full Domain name (from REMOTE_ADDR) 13 4) CO Cookie 14 5) EA Email Address 6) BT Browser 16 7) CU !/CODE data 17 8) ZC Zipcode, 18 9) PDC Parsed Domain Items 1 S~ level, 2"d level) 3'd level parse domain items AAD Table 412 ( identifies active advertisers) 21 1) BL BudgetLeft Current agent's budget remaining 22 2) CTL CIickThrusLeft Current click-through count remaining (number) 23 3) VL ViewsLeft Current exposure count remaining (number) 24 4) TE Time Expired Time expired (i.e. agent is "dead" or expired if not 0) 5) AA An identification of the bidding agent 27 VOD memory area 415: This is a data communication structure in memory that facilitates passing 28 data between objects.. When a view-op is received, data is placed in the VOD area and then 1 transmitted to the bidding agents. As an example, the following data can be placed in the VOD for 2 transmission to the bidding agents.
3 1) Current Viewer Data 4 CO Cookie - gives information about the viewer that initiated the view-op.
EA Email Addr. of viewer that initiated the view-op.
6 C //Code of viewer that initiated the view-op.
7 TS TimeStamp 8 Last Seen Time Stamp 9 IP Internet Protocol information Full Domain Name (e.g. "sales.gm.uk"}
11 Parsed Domain Name (e.g. Top = "uk", 2"d - "gm", 3'd = "sales") 12 IICODE plus associated data 13 Zipcode*
14 BT Browser type (e.g. "Mozilla I Unix 4.0") VO View Op ID
16 CT Content Type, Identifies a particular type of ad that site will accept.
17 2) Data About Advertisers 18 Original and Current budget 19 Original and Current Views budget Original and Current Click thru budget 21 Time-Start/End 22 advertiser !D
23 3) Site Data 24 Keywords which appear on site Site Page Ad Minimum Price 26 Accepts content List (what will site accept e.g. java, gif; sizes) 1 Site Owner Name 2 Site URL
3 Site Title 4 Site Intro Page Title 4) Historic and other data from data base 16B: This is the VODX area 415A:
This is a 6 subset of the VOD structure and it is a subset of data that is in the CUD, AAD, 7 HUD and SOD. The data in the VODX is transmitted to the bidding agents on 8 each view-op. The data placed in the VODX can for example be:
9 a) CUD Record Portions: Portions of CUD that exist such as domain, browser, //code relative to a viewer associated with a view-op.
11 b) 100 SOD records where SOD.WS.SP = VOD.WS.SP That is, where site page and 12 web site in SOD equal site page and web site in the VOD.
13 c) 100 SOD records where Customer ID (i.e. (/Code) in SOD equals Customer 1D in VOD
14 That is, sold view-op records for this Viewer.
d) 100 HUD records: most recent records for this CU, WS and SP.
17 In the above example, the historical data is in units of one hundred records. It should be 18 understood that the number of historical records sent to the bidding agents, is established 19 by determining the type of specification which advertisers want to put in proposed bids. If advertisers want to base the decision on whether or not to submit an actual bid on the 21 data in more than 100 historical records, the number of historical records placed in the 22 VOD must be larger than 100. Alternatively, in a low cost system which has a limited 23 amount of memory, and relatively stow speed communication, the data selected for 24 inclusion in the VOD could be less than the data listed above.
m 1 The data in the VOD is provided to the bidding agent 30 at every view-op.
The bidding 2 agents 30 can use this information to make a buy decision by comparing the criteria 3 specified in a proposed bid with the characteristics of a view-op. All of the data that is 4 listed above will not be available for each view-op. If certain data (i.e.
data in a particular field) is not available relative to a particular view-op and a proposed bid requires that the 6 data in the particular field have a particular value, no actual bid will be submitted by the 7 bidding agent when the proposed bid is evaluated. The list of information or data in the 8 VOD as given above is illustrative and any available information which advertisers feel is 9 relevant to making buy decisions can be provided.
11 Some of the data in tables 16B is collected as the system operates. Other information 12 such as information about viewers can be purchased from commercial information 13 providers and periodically inserted into the tables 16B from an external connection.
On each view-op, that is, when each view-op occurs, bidding information is presented to 16 each of the bidding agents 30. When a bidding agent 30 receives information about a 17 view-op, it evaluates the view op with respect to the criteria specified in a particular 18 proposed bid and the bidding agent then either does nothing or returns to server 320 a 19 bid with a price and an identification of an ad to display if the bid is accepted. When a bidding agent receives information about a view-op each bidding agent 30 pertorms 21 comparison operations such as those shown in block diagram form in Figure 5.
23 The bidding agents may be computer programs written in conventional computer 24 languages. For example a bidding agent 30 may be a program in interpreted form) in script language (for evaluating proposed bids that are in Ad Script form) or a bidding 26 agent may be a previously compiled program. The exact form of the bidding agents is not WO 98/34189 PCT/iJS98100386 1 particularly relevant to the present invention provided that the bidding agent perform 2 comparison operations such as those shown in Figure 5. It is also noted that the bidding . 3 agents may be complex computer programs that perform various complex comparison 4 operations in addition to or in place of the operations shown in Figure 5.
However, in the preferred embodiment of the invention, the bidding agents are simple conventional 6 computer programs that perform the type of comparison operations shown in Figure 5.
8 During the normal operation of the system, the process begins upon receipt of a view-op 9 from the browser 11. Upon receipt of a view-op the system does the following:
1 ) An attempt is made to identify the viewer via HTTP connect information.
The system 11 seeks to determine if this viewer has been seen before. This is done using 12 conventional and well know HTTP protocol techniques, the data in data base 13 and conventional data base technology.
14 2) The data concerning the viewer is used to update the table's Current Viewer Data (table 410) relative to this view-op's viewer.
16 3) A view-op object (VOD 415) is transmitted to each bidding agent 30.
17 4) The bidding agents 30 determine if the view-op meets the requirements of various 18 proposed bids.
19 5) Bids are collected from the bidding agents 30 and a determination is made as to the winning bid.
21 6) The winning bid includes an ad index identifying the ad to be displayed.
This ad index 22 which identifies an ad in table 16A is transmitted to the web server 310 and the 23 appropriate ad is sent to the browser 11.
24 7) The tables 16B are updated as to the view-op just bought (as to all view-op data of the just sold item including Historic Viewer Data such as Site, Viewer, Time seeing this 26 exposure, etc. ).
1 8) Log and billing information is transmitted to a log and billing unit.
3 Time Path: The following describes the time sequence of operations that occur when a 4 HTTP view-op request arrives from the web server 310. This can be a multi-threaded operation, that is, multiple requests might be processed simultaneously; they each 6 maintain their own context and depend on the basic operating system (OS) for time 7 slicing. This describes the time sequence for processing one view-op request. The 8 following description uses symbolic values for time.
9 TimeO:
HTTP view-op request packet received 11 Extract HTTP variables from HTTP request:
12 HTTP Query String (PATH_INFO) WS SP
REMOTE HOST == domain 16 REMOTE ADDR (IP) Time1:
21 Lookup in CUD and try to match viewer 22 If success save CU and update Last Seen TimeStamp 23 If failure 24 Create new CU;
insert a new CUD record 26 Time2:
1 Create & build VOD object (contains view-op data for bidding agents) for the view-2 op.
3 Time3:
4 Lookup last N (i.e. 100) SOD records for CU, and save in VOD
Time4:
6 Lookup last N (i.e. 100) HUD records for CU.SW.SP, save in VOD
7 Times:
8 Remember VO ID and initiate a time-out.
9 Time 6:
Transmit VOD to all bidding agents.
11 After the VOD data is transmitted to the bidding agents 30, the bidding agents 30 12 evaluate proposed bids and if appropriate sent messages (bids) to view server 320.
13 These messages will be bid object data (bid price and ad ID). View server 320 collects 14 the bids and selects the highest bid. (This is done by bid selection logic 16C in view server 320 which compares each bid received with the current winner of the bid compete 16 process until no further bids are received).
17 Time7:
18 Transmit winning ad index (that is the ad index from the winning bid) to web 19 server 310. The ad-index indicates which of the ads in table 16A is to be transmitted to browser 11.
21 TimeB:
22 Update table 16B (as to the view-op just bought);
23 Time9:
24 Insert in SOD view-op Data (as to all view-op data of the just sold item);
Time 10:
m 1 Upda#e or insert Historic Viewer Data {as to Site, Viewer, Time seeing this 2 exposure).
3 Time 11:
4 Transmit Log/Billing information to the Log and billing unit 320A.
6 Proposed bids are submitted to bidding agents 30 by bid input uni# 18. Each proposed 7 bid, which is submitted in the form of a programming Form Object, contains data fields 8 such as the data fields listed below. A particular proposed bid may not have data in each 9 of the fields of the associated Form Object. Furthermore one proposed bid may contain multiple Form Objects. That is, an advertiser may submit multiple form objects at multiple 11 levels. For example, an advertiser may specify a level one proposal of five cents if one 12 particular set of criteria are met and a level two proposal of four cents if other criteria are 13 met. Each proposed bid (i.e. each form object) may contain a wide range of criteria that 14 must be satisfied if an actual bid is to be placed. The criteria may be very stringent in a situation where the proposed bid is high and the advertiser wants to reach only a very 16 select group of viewers. On the other hand the criteria may be loose if the bid is low and 17 the advertiser wants to reach a large number of viewers who meet only a minimum set of 18 criteria. For example, a proposed bid might have the single criteria such as that the view-19 op is from a viewer that is using the "Netscape browse". Alternatively a proposed bid might specify values for items "a", "b", "c", "e", "g",~ "h" and "i" listed below and specify that 21 these values must be met before a bid is submitted for this advertiser.
23 Another example is that a bid might specify a set of criteria and a list of ads that are to be 24 displayed in sequence each time a particular viewer who meets the criteria is encountered. Such a list is referred to as a "rotation" of ads. A proposed bid might also 1 specify that after all the ads in a rotation are displayed to a viewer, there should be a 2 specified delay before the viewer is again shown the ads in the rotation.
4 As an example, each form object may have the following fields (naturally it should be understood that these are merely illustrative and the number and description of actual 6 fields is merely limited by the advertiser's desires concerning what criteria the advertiser 7 cares to specify in a proposed bid.):
8 a) Frequency: that is, the number of Ad serves for one unique viewer of this ad 9 b) Include sites list (those sites that are acceptable to the advertiser) c) Exclude sites list (those sites that are not acceptable to the advertiser) 11 d) Maximum bid .........(in no event can the bid be larger than this amount) 12 e} Keywords for site (words that must be in the site if a bid is to be submitted) 13 f) Keywords for site-page (words that must be on the page) 14 g) Times: DaypartslVlleekparts (when can ad be placed) h) Viewer OS (operating system viewer must have) 16 i} Viewer Zipcode 17 j) Viewer US State 18 k) Viewer Domain (.corn, .edu, .gov, .mil, .org) 19 i) Viewer ISP
m) Viewer Country 21 n) Viewer SIC code 22 0) Viewer # of employees 23 p) Viewer Annual Revenues.
24 q) Viewer Browser (what browser viewer must have) r) Inter-ad Delay (minimum time between placement of ads to a particular 26 viewer) i 1 s) Rotation Delay (delay between placement of ads which are part of a series) 2 t) List of ads in a rotation ..(a list of ads that are placed in sequence ,see example below) 3 u) Other (Other criteria that advertiser may care to specify. Naturally, 4 the bidding agent which receives a proposed bid must be programmed to compare the criteria specified in a bid to the data available concerning a view-op) 8 Bidding input server 18 includes a conventional data input program that allows entry of 9 proposed bids with fields such as those listed the above. Each proposed bid is transmitted to a bidding agent 30. There is one bidding agent 30 for each proposed bid 11 that is submitted. A system may include thousands of bidding agent programs 30. ft 12 should be understood that bidding agents 30 are conventional computer programs that 13 evaluate proposed bids against the characteristics of a view-op to determine if a bid 14 should be submitted to view server 320.
1fi Bid input system 18 also transmits information to view server 320. For example the 17 budget and identity of each advertiser is transmitted from bid input server 18 to AAD table 18 412. Entry, transfer and storage of such information is done using conventional data 19 base techniques.
21 in the particular embodiment of the invention shown herein, the bidding agent programs 22 30 perform the operations shown in Figure 5 relative to each level of each proposed bid.
23 As previously indicated each proposed bid may include several bid levels.
All of the 24 above elements are repeated in each element. The process shown in Figure 5 is executed for each level of each proposed bid. The Level 0 level is "run"
first, the Level 1 26 next, and so on. This means that level 0 requirements are evaluated first.
If they 1 succeed, the bid is placed as dictated in that level's data. Otherwise Level 1 requirements 2 are checked, and so on. Each level's requirements can be totally independent, but 3 preferably they should get successively less strict, such that the proposed bid value 4 decreases.
6 The program shown in Figure 5 is executed for every view-op. It first uses the 7 specifications for Level 0, then on "NEXT," or a failure to meet criteria for a level, it starts 8 over with the next level's criteria. The proposed bid evaluation program shown in Figure 9 5 pertorms tests such as the tests shown below upon a proposed bid prior to submitting an actual bid to view server 320. It should be understood that the test below are merely 11 illustrative and any variety of tests can be performed in comparing the characteristics of a 12 view-op with the specifications in a proposed bid. The tests required is limited solely by 13 the desires of the advertiser. Programming for performing such tests and comparisons 14 between specified characteristics of a view-op and specifications in a proposed bid is conventional programming. In the illustration given in Figure 5, the following tests are 16 performed by the bidding agent program.
17 Block 501: If Include site List is specified and WS (Web Site ID) is not in include site List 18 go to DONE, if not go to next test.
19 Block 502: If Exclude site List specified and WS (Web Site ID) in Exclude site List go to GONE, if not go to next test. ' 21 Block 503: If Browser specified and no match with Browser being used, go to DONE, if 22 not go to next test.
23 Block 504: If MIN site bid < MAX Agent bid go to DONE, if not go to next test (note that a 24 web site can specify a minimum amount (Min site bid) that the site will accept for displaying an advertisement).
26 Block 505: If Viewer OS specified and no match go to DONE, if not go to next test.
i~
1 Block 506: If Viewer Zipcode specified and no match go to DONE, if not go to next test.
2 Block 507: If Viewer US State specified and no match go to DONE, if not go to next test.
3 Block 508: If Viewer Domain specified and no match go to DONE, if not go to next test.
4 Block 509: If Viewer ISP specified and no match go to DONE, if not go to next test.
Block 510: If Viewer Country specified and no match go to DONE, if not go to next test.
6 Block 511: If Viewer SIC code specified and no match go to DONE, if not go to next test.
7 Block 512: If Viewer # of employees specified and no match go to DONE, if not go to next 8 test.
9 Block 513: If Viewer Annual Revenues specified and no match go to DONE, if not go to next test.
11 Block 514: If Time List specified and current time not in Time List go to DONE, if not go to 12 next test.
13 Block 515: If Keywords fist specified and Keywords not in Site Keywords List go to DONE, 14 if not go to next test.
Block 516: If MAX Agent click-through bid specified and MIN site click-through bid then if 16 MIN site click-through bid < MAX , Agent click-through bid go to DONE, if not go to 17 next test.
18 Block 517: if No CT (content type) match in Ad list go to DONE, if not go to next test.
19 Block 518: If InterAd Time Interval specified then Compute (block 519) (scan for) LastAdViewer for this CU (Last time this viewer saw an ad fulfilled from this agent) 21 from SOD List of 100.
22 Block 520: If InterAd Time interval and if TimeStamp of LastAdViewer <
inter Ad Time 23 Interval go to done, if not go to next test.
24 Block 521: If Frequency specified perform block 522, that is, Count (scan) SOD per CU for ads sold by this agent. (Block 522A) If this count > Frequency go to DONE, if not 26 go to next test.
1 Block 523 If no LastAdViewer (no record of serving this Viewer) go to done, if not go to 2 next test.
3 Block 523A if interAdTimelnterval specified then if TimeStamp of Last Ad Serve < Inter Ad 4 Time interval go to DONE, if not go to next step.
Block 524: TRY TO BUY AD with the following steps:
6 Block 525: Select Next Ad to Serve based on CT match, LastAdViewer or Last Ad Served 7 Block 526: Submit BID: Include in the bid submitted to view server 320, the ad ID in the 8 form of an index that can be used by web server 310 to select a bid from ad table 16A for display.
Block 528: The process is DONE
12 The process that the web server 320 follows when it receives a view-op is shown in 13 Figures 6A to 6E. The process includes the following steps:
Begin Process Figure 6A' 16 Block 601: The process begins when the view server 320 receives aViewOpDrive() call.
17 That is when Raw view-op Data is sent to view server 320.
18 Block 605: Establish an area in memory for VOD structure (we will write to this area) 19 Block 606: Parse the Domain Block 607: Parse Accepts (map this to CT) 21 Block 608: Parse the Browser field 22 Block 609: Write SP, WS, and Cookie to the VOD
23 Block 610: Create New view-op record in SOD
24 Block 611: Write available information about view-op to new record in SOD
Block 612: Write TS to SOD
26 Block 614: Check to see If Cookie = 0 (Is there a Cookie in the request) 1 Block 615: If Cookie = 0 select on CUD where there is a Cookie match 2 Block 616: If Cookie not = 0 Select on CUD using other heuristics of viewer 3 Block 617: Set (or clear) VOD.CU
4 Block 620: check if there is a current viewer.
Block 621: if CU = 0 insert new viewer in CUD
6 Block 623 Insert the new CUD rec. in CUD
7 Block 622: Write CUD record to VOD
8 Block 630: Select from SOD where CU = VOD.CU for 100 order by TS into VOD
and go to 9 next procedure. This selects the 100 most current purchases that were presented to the particular viewer. Write to VOD
11 Block 631: Sefect from HUD where CU,SP,SW all match for 100 most recent records in 12 VOD. Write to VOD
13 Block 632: Select from AAD for every active budget. Write to VOD (Write any other data 14 needed by bidding agents to VOD) Block 634 Send VOD data to Bidding Agents. Each bidding agent run its logic (see 16 Figure 5) 17 Block 635: Bidding agents send result to View Server 320 18 . (This following is the process where bid selection logic 16C in view server 620 19 picks the best bid) Block 641: Pick maximum bid 21 Block 642: Update AAD data 22 Block 643 Check for expiration of bidding agent in AAD table 23 Block 644: Set VOD info to winner and go to next procedure.
24 Block 645: check if CUD exceeds its maximum.
Block 646 if block 645 answer is yes, Select oldest CUD record, Post it to a CUD archive 26 file.
..~ ,~
1 Block 650: check if CUD > MAXSIZE .
2 Block 651: If block 650 answer is yes, Delete oldest CUD record and proceed.
3 Block 653: Compose the SOD record from VOD data.
4 Block 654: Insert SOD record.
Block 655: check if count of SOD records > MAXSIZE: if no go to next procedure.
6 Block 656: If block 655 answer is yes, Select oldest SOD record , POST it to an archive 7 file and go to next procedure.
8 Block 660: check if count of SOD records > MAXSIZE, if answer is no, go to next 9 procedure Block 661: If answer to block 660 is yes, delete oldest SOD record.
11 Block 662. Select from HUD for CU, SP, SW, current time interval. That is, select for this 12 current viewer, for this bidding agent, on this web site, for this time interval.
13 Block 663: Write data to VOD and go to next procedure .
14 Block 664, Check if HUD Rec == 0 That is, if HUD record was found Block 665, if no HUD record found, Insert New HUD rec .
16 Block 666: If HUD record was found, Update existing HUD rec.
17 Block 670: check if new Hud Rec was inserted and count > MAXSIZE .
18 Block 671: if answer to block 670 is yes, Delete oldest HUD rec.
19 Block 672: Create Accounting Rec. from VOD data.
Block 673: POST the data to an archive fife 21 Block 674: Post ad info to web server 310. That is, tell web server 310 which ad to 22 display.
23 Block 675: Dequeue, Delete the VOD. This is the end of the procedure. It starts again at 24 the next view-op.
1 The series of steps shown in Figures 6A to 6S are the procedural operation performed by 2 the view server 320. These can be programmed using any of the conventional 3 programming languages such as SQL. The particular computer used to perform the 4 program is of no particular consequence so long as it is fast enough to provide a reasonable degree of pertormance. In order to speed the operation of the system if there 6 is a large number of bidding agents 30, the bid selection logic 16C may be implemented 7 using hard wired logical circuitry rather than by utilizing a computer program. The 8 programming or circuitry in bid selection logic 16C is conventional. It merely receives the 9 bids from each of the bidding agents 30 and selects the highest bid and then transfers the ad index for this bid to web server 310 and transfers other information about the bid to the 11 data tables 16B and to log and billing unit 320A.
13 Web Server 310: The web server 310 is a conventional web server which is programmed 14 to provide two main functions:
1 ) Answer and hold the state of each HTTP request; deliver the view-op to the system 16 kernel in view server 320; receive the system kernel reply and deliver the content.
17 This is a multi-task operation. The contents (the IP data) of each view op, along 18 with its type (either a request for content or a click-through) are delivered to the 19 view server 320. This communication is through shared memory or alternatively it may be through a conventional inter-computer network.
21 2) Install and remove Ad content separately, and asynchronously. Service requests to 22 install (store) and remove (delete) ads from data base 16A. On an install, the web 23 server returns a WC, a handle or index to the location of the ad. WCs should be 24 unique for the life of the system. This is done by a conventional data base program.
1 Bid input server 18 is a conventional data base server which accepts information and 2 delivers it to the tables in view server 320 and to bidding agents 30. Bid input server 18 3 provides a data input mechanism for the system. Data table 18-T in bid input server 18 4 stores the identity of each of the advertisers and the particular bidding agents 30 to which bids from that advertiser should be sent. Bidding agents 30 can all be identical or 6 alternatively some may have capability for evaluating more complex criteria in proposed 7 bids. The data table 18T stores information which indicates which bidding agent should 8 receive proposed bids from which advertisers. Bid input Server 18 is a conventional data 9 base input unit.
11 The log and billing unit 320A is a conventional data base program that provides 12 conventional log and billing functions. As concerning users and web sites becomes old 13 and stale, it is transmitted to an archive in log and billing unit 320A. A
log of all 14 transactions that takes place in the system is also maintained by unit 320A. This is done using conventional programming techniques.
17 In the figures, only one web browser 11 is shown. It should be understood that web 18 browser 11 is merely representative of the web browsers connected to the Internet world 19 wide web. Web server 310 is connected to the Internet and hence it can receive HTML
references from any of the millions of browsers connected to the Internet. Web browser 21 11 is merely illustrative of one of the browsers connected to the Internet.
23 The specifics of the various data bases, the specifics of the various fields in the data 24 bases, and the specifics of the form used to submit a bid, the parameters that are considered in evaluating bids, as shown herein are illustrative only and various changes 26 in the data bases, the fields and the parameters along with changes in the operation of 1 these details of the system could be made without departing from the spirit and scope of 2 the invention.
4 Specific data can be introduced into data base 16B in a number of ways. Some of the data is collected as previously described as the system operates. Other data can be 6 viewer registration data, that is data obtained when viewer register at related web sites.
7 Likewise viewer history data in data base 16B can be collected as the system operates or 8 it can be purchased from commercial sources and entered into data base 16B
as a batch 9 of information. Web site demographic data can be collected from commercially available sources and entered into data base 16D.
12 The specific data collected in data base 16B is determined by the criteria that advertisers 13 want to establish in proposed bids. Data base 16B can store any type of information that 14 advertisers care to specify in proposed bids. Any data that advertisers want to use in setting specifications in proposed bids can be stored in tables 16B using conventional 16 data base technology. This data is transferred to the VOD area of memory and to the 17 bidding agents 30 when a view-op occurs. Bidding agents 30 must be programmed to 18 compare the data received from the VOD to the specifications in a proposed bid to 19 determine if an actual bid should be submitted.
21 It is herein assumed that a viewer always accesses the world wide web using the same 22 browser, so that the cookie in a browser accurately reflects what a viewer has done. It is 23 also assumed that only one viewer uses a particular browser, again so that the cookie in 24 the browser accurately reflects what the particular viewer has done. If different individuals use different sign-on names with the same browser, or if different individuals who use the 1 same browser othenrvise identify themselves to the system, they can be assigned 2 separate Ilcodes even though they use the same browser..
4 It is also noted that a system could combine the operation of the present invention with the operation of the prior art type of system where access to advertising on particular web 6 sites is sold for a specified amount. An operator of the system could sell "pre-buys", that 7 is, access to the view-ops that occur on a particular site and the operator could insure that 8 a particular advertiser always has access to these view-ops as done by the prior art 9 systems. This could be done by merely entering into the system proposed bids with a value that is the maximum allowed by the system for those particular view-ops that are 11 sold as pre-buys.
13 An alternative embodiment of the invention is shown in Figure 7. The system shown in 14 Figure 7 is designed to minimize latency due to Internet topographical distance between units.
17 The embodiment shown in Figure 7 is a geographically distributed system which includes 18 three systems 716A, 7168 and 716C each of which are identical to systems 16 shown in 19 Figures 1 and 3. Each of the systems 716A, 7168, and 716C have associated bidding agents 730A, 7308 and 730C. Each of the systems 716A, 7168 and 7126C is located a 21 different geographic area.
23 Client browser 711 sends web HTML references (such as those sent from browser 11 to 24 web server 310) to a commercial Internet service provider (an 1SP) 712. The ISP in turn sends an HTML reference to the system 716A, 7168 or 716C which is "topographically"
26 closest to the browser 711. For example, the three systems 716A, 7168 and 716C could i~
WO 98134189 PCT/i1S98/00386 1 be located on different continents, one in the U.S., one in Europe and one in Japan. With 2 the system shown in figure 7, HTML references from browsers in Europe would be 3 directed to the system in Europe, HTML references from browsers in the U.S.
would be 4 directed to the system in the U.S. etc. The bid input unit 718 sends each proposed bid to bidding agents 730 associated with each system. Thus, the systems 716A, 7168 and 6 716C evaluate each proposed bid against the particular view-ops that are directed to each 7 particular system. While for purposes of illustration, three systems 716A, 7168 and 716C
8 are shown, any number of such systems could be connected in an overall network of 9 systems.
11 While the invention has been shown and described with reference to preferred 12 embodiments thereof, i# should be understood that other embodiments are possible and 13 that various changes in form and detail may be made without departing from the spirit of 14 the invention. The scope of the invention is limited solely by the appended claims.
77 I claim:
Claims (15)
1. A system for supplying advertisements for display during a series of viewing opportunities (view-ops) which occur during the display of web pages on the Internet world wide web, each of said view-ops having specific characteristics, a plurality of bidding agents, a server for providing information concerning each view-op to said bidding agents, a bid input system for providing proposed bids to said bidding agents, each proposed bid including, a reference to a specific advertisement, specifications of a desired view op and a monetary amount which will be paid for displaying said specific advertisement in response to a view-op which meets said specifications of a desired view-op, each of said bidding agent including logic for submitting a bid and a reference to a specific advertisement to said server if the information concerning a view-op satisfies the specifications of a desired view-op contained in a proposed bid, and said server including bid selection logic for selecting the highest bid submitted by a bidding agent and for transferring the advertisement referenced in said highest bid to the web site presenting said view-op.
2. A server system for providing advertisements in response to HTML references from a web page, each HTML reference includes information identifying the source of said web page, said server system including, a data base of advertisements, a data base of viewer information including information concerning prior HTML
references, means for accepting proposed bids which specify a monetary amount for providing a particular advertisement in response to web page HTML references which satisfy specified criteria, said specified criteria including information included in said HTML reference and information from said data base of viewer information, means for determining if a particular HTML reference satisfies said specified criteria, means for selecting the highest bid which satisfies said specified criteria, and means for responding to said HTML reference with the particular advertisement specified by said selected bid.
references, means for accepting proposed bids which specify a monetary amount for providing a particular advertisement in response to web page HTML references which satisfy specified criteria, said specified criteria including information included in said HTML reference and information from said data base of viewer information, means for determining if a particular HTML reference satisfies said specified criteria, means for selecting the highest bid which satisfies said specified criteria, and means for responding to said HTML reference with the particular advertisement specified by said selected bid.
3. A system for placing advertisements on web pages on the world wide web which are accessed by a viewer, a first server which stores advertisements, said web pages having HTML
references to said first server, a data base of information on viewers, bid input means for accepting bids to place advertisements on web pages which have particular characteristics and which are accessed by viewers having particular characteristics, and bid selection means for selecting the highest bid for placement of an advertisement on a particular web page.
references to said first server, a data base of information on viewers, bid input means for accepting bids to place advertisements on web pages which have particular characteristics and which are accessed by viewers having particular characteristics, and bid selection means for selecting the highest bid for placement of an advertisement on a particular web page.
4. A system for displaying advertisements to viewers who access a web page comprising a web server which stores a plurality of advertisements, bid input means for providing to said system bids specifying characteristics of users and web sites where it is desired to display advertisements and a dollar bid for the right to display an advertisement on a site with the specified characteristics a server system which includes means for evaluating bids, for selecting one of said advertisements in response to said bids and for designating to said web server which of said advertisements should be displayed, whereby the particular advertisement that is displayed to a viewer is determined by a bidding process.
5. In an Internet which is operating according to the HTTP protocol, and which includes a browser for viewing web pages and for HTML referencing to remote servers, a server which has stored therein a number of advertisements, means for providing to said system bids for the opportunity to display advertisements on web pages which have been accessed by a viewer having specified characteristics, selection means for evaluating said bids and comparing them to the characteristics of a viewer that accesses a web page, said selection means including means for selecting the highest bid for a particular view-opportunity.
6. A method of placing advertisements on web pages on the world wide web which are accessed by a viewer utilizing a browser, storing advertisements in a data base on a first server, said web pages having HTML
references to said first server, maintaining a data base of information on viewers, accepting bids to place advertisements on web pages which have particular characteristics and which are accessed by viewers having particular characteristics, selecting the highest bid for placement of an advertisement on a particular web page.
references to said first server, maintaining a data base of information on viewers, accepting bids to place advertisements on web pages which have particular characteristics and which are accessed by viewers having particular characteristics, selecting the highest bid for placement of an advertisement on a particular web page.
7. A system for placing advertisements on web pages on the world wide web, said web pages being accessed by viewers, each viewer utilizing a browser, a first server which stores advertisements, said web pages having HTML
references to said first server, a data base of information on viewers and on the web sites that have been accessed by particular browsers, bid input means for accepting bids to place advertisements on web pages which have particular characteristics and which are accessed by particular browsers which have been previously used to access web pages having particular characteristics, bid selection means for selecting the highest bid for placement of an advertisement on a particular web page which has particular characteristics and which has been accessed by a browser which previously has accessed particular web sites.
references to said first server, a data base of information on viewers and on the web sites that have been accessed by particular browsers, bid input means for accepting bids to place advertisements on web pages which have particular characteristics and which are accessed by particular browsers which have been previously used to access web pages having particular characteristics, bid selection means for selecting the highest bid for placement of an advertisement on a particular web page which has particular characteristics and which has been accessed by a browser which previously has accessed particular web sites.
8. The system recited in claim 7 where said world wide web is accessed by using HTTP
protocol on the Internet.
protocol on the Internet.
9. A system for determining which advertisement to place on a web page that has been accessed by a viewer using a browser, a first web server which has stored thereon advertisements, said web page having a HTML reference to said first web server, a client server which provides means for entering bids to place particular advertisements on particular web pages which have particular characteristics and which are accessed by particular browsers which have previously accessed particular web pages, a viewer data base which has information concerning which web pages have been accessed by particular browsers, a view server which evaluates the bids which have been entered and selects the highest bid for displaying an advertisement on a particular web page.
10. The system recited in claim 9 including a server which includes means for checking bids to determine if web page meets the specifications in a particular bid.
11. The system recited in claim 9 wherein a determination of which advertisement to place on a particular web page in done in machine real time and said bids are entered in human real time.
12. The system in claim 9 wherein said viewer data base includes information about viewers.
13. A method for placing advertisements on web pages on the world wide web, said web pages being accessed by viewers, each viewer utilizing a browser, storing advertisements on a first server, said web pages having HTML
references to said first server, storing a data base of information on viewers and on the web sites that have been accessed by particular browsers, providing bids to place advertisements on web pages which have particular characteristics and which are accessed by particular browsers which have been previously used to access web pages having particular characteristics, selecting the highest bid for placement of an advertisement on a particular web page which has particular characteristics and which has been accessed by a browser which previously has accessed particular web sites.
references to said first server, storing a data base of information on viewers and on the web sites that have been accessed by particular browsers, providing bids to place advertisements on web pages which have particular characteristics and which are accessed by particular browsers which have been previously used to access web pages having particular characteristics, selecting the highest bid for placement of an advertisement on a particular web page which has particular characteristics and which has been accessed by a browser which previously has accessed particular web sites.
14. The system recited in claim 1 wherein each view-op has an associated viewer and said server includes a data base of information concerning viewers.
15. The system recited in claim 1 wherein said server includes a data base with information about web sites.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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US08/787,979 | 1997-01-22 | ||
US08/787,979 US6285987B1 (en) | 1997-01-22 | 1997-01-22 | Internet advertising system |
PCT/US1998/000386 WO1998034189A1 (en) | 1997-01-22 | 1998-01-09 | Internet advertising system |
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Publication Number | Publication Date |
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CA2271672A1 true CA2271672A1 (en) | 1998-08-06 |
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Application Number | Title | Priority Date | Filing Date |
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CA002271672A Abandoned CA2271672A1 (en) | 1997-01-22 | 1998-01-09 | Internet advertising system |
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US (2) | US6285987B1 (en) |
EP (1) | EP1010115A4 (en) |
JP (1) | JP2001514772A (en) |
AU (1) | AU735991B2 (en) |
CA (1) | CA2271672A1 (en) |
WO (1) | WO1998034189A1 (en) |
Families Citing this family (827)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5951300A (en) * | 1997-03-10 | 1999-09-14 | Health Hero Network | Online system and method for providing composite entertainment and health information |
US7467137B1 (en) | 1994-09-02 | 2008-12-16 | Wolfe Mark A | System and method for information retrieval employing a preloading procedure |
US6604103B1 (en) * | 1994-09-02 | 2003-08-05 | Mark A. Wolfe | System and method for information retrieval employing a preloading procedure |
US6571279B1 (en) * | 1997-12-05 | 2003-05-27 | Pinpoint Incorporated | Location enhanced information delivery system |
US7937312B1 (en) * | 1995-04-26 | 2011-05-03 | Ebay Inc. | Facilitating electronic commerce transactions through binding offers |
US6615251B1 (en) | 1995-12-11 | 2003-09-02 | John R. Klug | Method for providing node targeted content in an addressable network |
US5790785A (en) | 1995-12-11 | 1998-08-04 | Customer Communications Group, Inc. | World Wide Web registration information processing system |
US6591245B1 (en) | 1996-02-02 | 2003-07-08 | John R. Klug | Media content notification via communications network |
US5970124A (en) * | 1996-06-05 | 1999-10-19 | Voice Fx Corporation | Sponsored information distribution method and apparatus |
US6006252A (en) * | 1996-10-08 | 1999-12-21 | Wolfe; Mark A. | System and method for communicating information relating to a network resource |
US5948061A (en) | 1996-10-29 | 1999-09-07 | Double Click, Inc. | Method of delivery, targeting, and measuring advertising over networks |
US7236969B1 (en) | 1999-07-08 | 2007-06-26 | Nortel Networks Limited | Associative search engine |
US8626763B1 (en) | 1997-05-22 | 2014-01-07 | Google Inc. | Server-side suggestion of preload operations |
US7020622B1 (en) * | 1997-06-10 | 2006-03-28 | Linkshare Corporation | Transaction tracking, managing, assessment, and auditing data processing system and network |
IL125141A0 (en) | 1998-06-29 | 1999-01-26 | Nds Ltd | Advanced television system |
US7257604B1 (en) | 1997-11-17 | 2007-08-14 | Wolfe Mark A | System and method for communicating information relating to a network resource |
US7386485B1 (en) | 2004-06-25 | 2008-06-10 | West Corporation | Method and system for providing offers in real time to prospective customers |
US6055513A (en) * | 1998-03-11 | 2000-04-25 | Telebuyer, Llc | Methods and apparatus for intelligent selection of goods and services in telephonic and electronic commerce |
US7437313B1 (en) | 1998-03-11 | 2008-10-14 | West Direct, Llc | Methods, computer-readable media, and apparatus for offering users a plurality of scenarios under which to conduct at least one primary transaction |
US6421675B1 (en) * | 1998-03-16 | 2002-07-16 | S. L. I. Systems, Inc. | Search engine |
US6101486A (en) * | 1998-04-20 | 2000-08-08 | Nortel Networks Corporation | System and method for retrieving customer information at a transaction center |
US20080034113A1 (en) * | 1998-05-04 | 2008-02-07 | Frank Montero | Method of contextually determining missing components of an incomplete uniform resource locator |
FI107423B (en) * | 1998-05-28 | 2001-07-31 | Ericsson Telefon Ab L M | Advertising in a computer network |
US6141010A (en) * | 1998-07-17 | 2000-10-31 | B. E. Technology, Llc | Computer interface method and apparatus with targeted advertising |
US6601039B1 (en) | 1998-07-20 | 2003-07-29 | Usa Technologies, Inc. | Gas pump control system having access to the internet for the purposes of transacting e-mail, e-commerce, and e-business, and for conducting vending transactions |
US6609102B2 (en) | 1998-07-20 | 2003-08-19 | Usa Technologies, Inc. | Universal interactive advertizing and payment system for public access electronic commerce and business related products and services |
US6601038B1 (en) | 1998-07-20 | 2003-07-29 | Usa Technologies, Inc. | Delivery of goods and services resultant from an electronic commerce transaction by way of a pack and ship type company |
US6604087B1 (en) | 1998-07-20 | 2003-08-05 | Usa Technologies, Inc. | Vending access to the internet, business application software, e-commerce, and e-business in a hotel room |
US6807532B1 (en) | 1998-07-20 | 2004-10-19 | Usa Technologies, Inc. | Method of soliciting a user to input survey data at an electronic commerce terminal |
US6604086B1 (en) | 1998-07-20 | 2003-08-05 | Usa Technologies, Inc. | Electronic commerce terminal connected to a vending machine operable as a telephone |
US6604085B1 (en) | 1998-07-20 | 2003-08-05 | Usa Technologies, Inc. | Universal interactive advertising and payment system network for public access electronic commerce and business related products and services |
US6601037B1 (en) | 1998-07-20 | 2003-07-29 | Usa Technologies, Inc. | System and method of processing credit card, e-commerce, and e-business transactions without the merchant incurring transaction processing fees or charges worldwide |
US6611810B1 (en) | 1998-07-20 | 2003-08-26 | Usa Technologies, Inc. | Store display window connected to an electronic commerce terminal |
US6606602B1 (en) | 1998-07-20 | 2003-08-12 | Usa Technologies, Inc. | Vending machine control system having access to the internet for the purposes of transacting e-mail, e-commerce, and e-business, and for conducting vending transactions |
US6615183B1 (en) | 1998-07-20 | 2003-09-02 | Usa Technologies, Inc. | Method of warehousing user data entered at an electronic commerce terminal |
US6763336B1 (en) | 1998-07-20 | 2004-07-13 | Usa Technologies, Inc. | Method of transacting an electronic mail, an electronic commerce, and an electronic business transaction by an electronic commerce terminal using a wirelessly networked plurality of portable digital devices |
DK0975128T3 (en) | 1998-07-21 | 2002-04-22 | Oliver Kaufmann | Method and apparatus for providing a third party data channel on the Internet |
AU5234999A (en) * | 1998-08-03 | 2000-02-28 | Doubleclick Inc. | Network for distribution of re-targeted advertising |
US8150774B2 (en) | 1998-08-06 | 2012-04-03 | Cybersettle Holdings, Inc. | System and method for providing automated dispute resolution between or among multiple parties |
US7840440B2 (en) * | 1998-08-06 | 2010-11-23 | Cybersettle Holdings, Inc. | Computerized transaction bargaining system and method |
US7249114B2 (en) * | 1998-08-06 | 2007-07-24 | Cybersettle Holdings, Inc. | Computerized dispute resolution system and method |
US7558752B1 (en) * | 1998-08-07 | 2009-07-07 | Ariba, Inc. | Method and an apparatus for a trading market design and deployment system |
CA2306175A1 (en) * | 1998-08-07 | 2000-02-17 | Jeffrey L. Farris | Network contact tracking system |
US7272604B1 (en) | 1999-09-03 | 2007-09-18 | Atle Hedloy | Method, system and computer readable medium for addressing handling from an operating system |
NO984066L (en) * | 1998-09-03 | 2000-03-06 | Arendi As | Computer function button |
US6078866A (en) * | 1998-09-14 | 2000-06-20 | Searchup, Inc. | Internet site searching and listing service based on monetary ranking of site listings |
AUPP650598A0 (en) * | 1998-10-15 | 1998-11-05 | Reay, Mark Richard | This 'n' that |
US6487538B1 (en) * | 1998-11-16 | 2002-11-26 | Sun Microsystems, Inc. | Method and apparatus for local advertising |
US6522875B1 (en) * | 1998-11-17 | 2003-02-18 | Eric Morgan Dowling | Geographical web browser, methods, apparatus and systems |
US7158944B1 (en) * | 1998-11-26 | 2007-01-02 | Settle Iii Peveril O | Method and apparatus for facilitating the selection of legal and legal-related service providers |
US7269584B2 (en) * | 1998-11-26 | 2007-09-11 | Settle Iii Peveril O | Method and apparatus for managing conflicts of interest during the selection of legal and legal-related service providers |
US6560578B2 (en) | 1999-03-12 | 2003-05-06 | Expanse Networks, Inc. | Advertisement selection system supporting discretionary target market characteristics |
US6457010B1 (en) | 1998-12-03 | 2002-09-24 | Expanse Networks, Inc. | Client-server based subscriber characterization system |
EP1208418A4 (en) | 1998-12-03 | 2004-09-15 | Samsung Electronics Co Ltd | Subscriber characterization and advertisement monitoring system |
WO2000033163A2 (en) * | 1998-12-03 | 2000-06-08 | Expanse Networks, Inc. | Advertisement auction system |
US6324519B1 (en) | 1999-03-12 | 2001-11-27 | Expanse Networks, Inc. | Advertisement auction system |
US7949565B1 (en) * | 1998-12-03 | 2011-05-24 | Prime Research Alliance E., Inc. | Privacy-protected advertising system |
US20010042020A1 (en) * | 1998-12-08 | 2001-11-15 | David Schachne | Method for increasing electronic business |
US7840472B1 (en) * | 1999-12-08 | 2010-11-23 | Ebay Inc. | Method and apparatus for holding an online live auction to combine features of both the internet and traditional, real world auctions |
US7493553B1 (en) * | 1998-12-29 | 2009-02-17 | Intel Corporation | Structured web advertising |
US8700696B2 (en) * | 1998-12-30 | 2014-04-15 | Software Management, Inc. | Method and system for conducting a plurality of cyber-based conventions |
US7702720B1 (en) | 1998-12-30 | 2010-04-20 | Software Management, Inc. | Method and system for conducting a plurality of cyber-based conventions |
IL127889A0 (en) * | 1998-12-31 | 1999-10-28 | Almondnet Ltd | A method for transacting an advertisement transfer |
US7958224B2 (en) | 1999-02-17 | 2011-06-07 | Catalina Marketing Corporation | Incentive network for distributing incentives on a network-wide basis and for permitting user access to individual incentives from a plurality of network servers |
WO2000052608A1 (en) * | 1999-03-04 | 2000-09-08 | Tel.Net Media Pty. Ltd. | A dynamic advertising apparatus and system |
US7467348B1 (en) * | 2000-03-14 | 2008-12-16 | Yellow Pages Superhighway, Inc. | Method and apparatus for providing a sponsoree-sponsor relationship in a directory, including eminent domain rights for the sponsoree |
US6907566B1 (en) | 1999-04-02 | 2005-06-14 | Overture Services, Inc. | Method and system for optimum placement of advertisements on a webpage |
WO2000062171A1 (en) | 1999-04-08 | 2000-10-19 | Zap.Com Corporation | System of consistent internet web site banners that provide portal-like functionality |
US7539628B2 (en) | 2000-03-21 | 2009-05-26 | Bennett James D | Online purchasing system supporting buyer affordability screening |
US6339761B1 (en) * | 1999-05-13 | 2002-01-15 | Hugh V. Cottingham | Internet service provider advertising system |
US8121874B1 (en) | 1999-05-27 | 2012-02-21 | Accenture Global Services Limited | Phase delivery of components of a system required for implementation technology |
US7231358B2 (en) * | 1999-05-28 | 2007-06-12 | Overture Services, Inc. | Automatic flight management in an online marketplace |
US7702537B2 (en) * | 1999-05-28 | 2010-04-20 | Yahoo! Inc | System and method for enabling multi-element bidding for influencing a position on a search result list generated by a computer network search engine |
US7065500B2 (en) * | 1999-05-28 | 2006-06-20 | Overture Services, Inc. | Automatic advertiser notification for a system for providing place and price protection in a search result list generated by a computer network search engine |
US7835943B2 (en) * | 1999-05-28 | 2010-11-16 | Yahoo! Inc. | System and method for providing place and price protection in a search result list generated by a computer network search engine |
US7225182B2 (en) | 1999-05-28 | 2007-05-29 | Overture Services, Inc. | Recommending search terms using collaborative filtering and web spidering |
US6269361B1 (en) * | 1999-05-28 | 2001-07-31 | Goto.Com | System and method for influencing a position on a search result list generated by a computer network search engine |
US7035812B2 (en) * | 1999-05-28 | 2006-04-25 | Overture Services, Inc. | System and method for enabling multi-element bidding for influencing a position on a search result list generated by a computer network search engine |
US7103806B1 (en) * | 1999-06-04 | 2006-09-05 | Microsoft Corporation | System for performing context-sensitive decisions about ideal communication modalities considering information about channel reliability |
US7389351B2 (en) * | 2001-03-15 | 2008-06-17 | Microsoft Corporation | System and method for identifying and establishing preferred modalities or channels for communications based on participants' preferences and contexts |
US6574608B1 (en) | 1999-06-11 | 2003-06-03 | Iwant.Com, Inc. | Web-based system for connecting buyers and sellers |
US8494917B2 (en) | 1999-06-29 | 2013-07-23 | Priceplay.Com, Inc. | Systems and methods for transacting business over a global communications network such as the internet |
US8050982B2 (en) * | 1999-06-29 | 2011-11-01 | Priceplay, Inc. | Systems and methods for transacting business over a global communications network such as the internet |
US20060036511A1 (en) * | 1999-06-29 | 2006-02-16 | Lin Wayne W Y | Systems and methods for transacting business over a global communications network such as the internet |
AU5786700A (en) * | 1999-07-02 | 2001-01-22 | Erwin Aguayo Jr. | System and method for short notice advertising placement |
US7010497B1 (en) * | 1999-07-08 | 2006-03-07 | Dynamiclogic, Inc. | System and method for evaluating and/or monitoring effectiveness of on-line advertising |
US7028072B1 (en) * | 1999-07-16 | 2006-04-11 | Unicast Communications Corporation | Method and apparatus for dynamically constructing customized advertisements |
US8527337B1 (en) | 1999-07-20 | 2013-09-03 | Google Inc. | Internet based system and apparatus for paying users to view content and receiving micropayments |
US7290009B1 (en) * | 1999-08-25 | 2007-10-30 | The Trustees Of Columbia University In The City Of New York | System and method for allocating resources using spot market and derivative market techniques |
US7801802B2 (en) * | 1999-09-02 | 2010-09-21 | Walker Digital, Llc | Method, system and computer program product for facilitating an auction behavior and automatic bidding in an auction |
US8108245B1 (en) * | 1999-09-17 | 2012-01-31 | Cox Communications, Inc. | Method and system for web user profiling and selective content delivery |
US9451310B2 (en) | 1999-09-21 | 2016-09-20 | Quantum Stream Inc. | Content distribution system and method |
US7831512B2 (en) | 1999-09-21 | 2010-11-09 | Quantumstream Systems, Inc. | Content distribution system and method |
US6816857B1 (en) * | 1999-11-01 | 2004-11-09 | Applied Semantics, Inc. | Meaning-based advertising and document relevance determination |
KR100458430B1 (en) * | 1999-09-27 | 2004-12-03 | 주식회사 메디칼스탠다드 | Advertizing method using software products |
FI115816B (en) | 1999-09-29 | 2005-07-15 | Tecnomen Oy | A method and system for distributing bulletins and services over a computer network |
WO2001027831A1 (en) * | 1999-10-08 | 2001-04-19 | Motorola Inc. | Remotely configurable multimedia entertainment and information system with real-time auctioning of advertisement space |
AU1244301A (en) * | 1999-10-27 | 2001-05-08 | Firstlook.Com | System and method for providing a preview marketing network |
US7822636B1 (en) * | 1999-11-08 | 2010-10-26 | Aol Advertising, Inc. | Optimal internet ad placement |
US6876991B1 (en) | 1999-11-08 | 2005-04-05 | Collaborative Decision Platforms, Llc. | System, method and computer program product for a collaborative decision platform |
US7127500B1 (en) * | 1999-11-10 | 2006-10-24 | Oclc Online Computer Library Center, Inc. | Retrieval of digital objects by redirection of controlled vocabulary searches |
WO2001035291A2 (en) * | 1999-11-10 | 2001-05-17 | Amazon.Com, Inc. | Method and system for allocating display space |
US6600497B1 (en) * | 1999-11-15 | 2003-07-29 | Elliot A. Gottfurcht | Apparatus and method to navigate interactive television using unique inputs with a remote control |
US6598027B1 (en) * | 1999-11-16 | 2003-07-22 | Xs, Inc. | Systems, methods and computer program products for conducting regulation-compliant commercial transactions of regulated goods via a computer network |
US20040073498A1 (en) * | 1999-11-16 | 2004-04-15 | Breen Napier Fulton | Systems, methods and computer program products for conducting regulation-compliant commercial transactions of regulated goods via a computer network |
US7813958B1 (en) | 1999-11-17 | 2010-10-12 | Heavy Hammer, Inc. | Method, system, and software for geographically focused network advertising |
KR100350723B1 (en) * | 1999-11-19 | 2002-08-30 | 링크플러스(주) | Method for brokering internet advertisements using internet and host therefor |
US7058592B1 (en) * | 1999-11-29 | 2006-06-06 | Microsoft Corporation | Transmission of information during ad click-through |
US6763334B1 (en) | 1999-12-09 | 2004-07-13 | Action Click Co., Ltd. | System and method of arranging delivery of advertisements over a network such as the internet |
ATE326747T1 (en) * | 1999-12-15 | 2006-06-15 | Vert Inc | SYSTEM AND METHOD FOR MANAGING ADVERTISING AND INFORMATION DISPLAYS ON VEHICLES BASED ON AN E-COMMERCE WEBSITE |
US6996612B1 (en) * | 1999-12-30 | 2006-02-07 | Vignette Corporation | Method of providing information related to activity of a user and a data processing system program product |
US8527345B2 (en) * | 2000-01-06 | 2013-09-03 | Anthony Richard Rothschild | System and method for adding an advertisement to a personal communication |
EP1264258A2 (en) * | 2000-01-06 | 2002-12-11 | Anthony R. Rothschild | System and method for adding an advertisement to a personal communication |
US6446045B1 (en) * | 2000-01-10 | 2002-09-03 | Lucinda Stone | Method for using computers to facilitate and control the creating of a plurality of functions |
US7249059B2 (en) * | 2000-01-10 | 2007-07-24 | Dean Michael A | Internet advertising system and method |
IL145314A0 (en) * | 2000-01-14 | 2002-06-30 | Nds Ltd | Advertisements in an end-user controlled playback environment |
JP2001209722A (en) * | 2000-01-28 | 2001-08-03 | Mitsubishi Electric Corp | Digital contents charging system through network |
US6704727B1 (en) | 2000-01-31 | 2004-03-09 | Overture Services, Inc. | Method and system for generating a set of search terms |
AUPQ545600A0 (en) * | 2000-02-04 | 2000-03-02 | Geobytes Inc | Method and apparatus for identifying locale of internet users |
US20030083932A1 (en) * | 2000-02-10 | 2003-05-01 | Adchek, Inc. | Advertising Method and System |
US6775831B1 (en) | 2000-02-11 | 2004-08-10 | Overture Services, Inc. | System and method for rapid completion of data processing tasks distributed on a network |
US8626576B1 (en) | 2000-02-11 | 2014-01-07 | Apple Inc. | System and method for marketing employing the distribution of a pay for performance database |
US7136860B2 (en) * | 2000-02-14 | 2006-11-14 | Overture Services, Inc. | System and method to determine the validity of an interaction on a network |
US20010047297A1 (en) * | 2000-02-16 | 2001-11-29 | Albert Wen | Advertisement brokering with remote ad generation system and method in a distributed computer network |
US7580855B2 (en) * | 2000-02-28 | 2009-08-25 | Webloyalty.Com | Computer-implemented apparatus and method for generating a tailored promotion |
US20040150677A1 (en) * | 2000-03-03 | 2004-08-05 | Gottfurcht Elliot A. | Method for navigating web content with a simplified interface using audible commands |
US20010054001A1 (en) * | 2000-03-10 | 2001-12-20 | Robinson Gary B. | System and method for advertising |
US6611881B1 (en) | 2000-03-15 | 2003-08-26 | Personal Data Network Corporation | Method and system of providing credit card user with barcode purchase data and recommendation automatically on their personal computer |
US20020007308A1 (en) * | 2000-03-26 | 2002-01-17 | Anderson Peter M. | Network based media space sale system and method |
US7353267B1 (en) * | 2000-04-07 | 2008-04-01 | Netzero, Inc. | Targeted network video download interface |
US20020004803A1 (en) * | 2000-04-07 | 2002-01-10 | Oleg Serebrennikov | Method and apparatus for the dynamic modification of relational information in electronic documents such as HTML pages and the like |
JP2001297221A (en) * | 2000-04-12 | 2001-10-26 | Nippon Telegr & Teleph Corp <Ntt> | Information providing method for communication system |
US7979880B2 (en) * | 2000-04-21 | 2011-07-12 | Cox Communications, Inc. | Method and system for profiling iTV users and for providing selective content delivery |
WO2001084511A2 (en) * | 2000-05-02 | 2001-11-08 | Winwin Technologies, Ltd. | System and method for payment for targeted messaging over a network |
AU2001261232A1 (en) | 2000-05-08 | 2001-11-20 | Walker Digital, Llc | Method and system for providing a link in an electronic file being presented to a user |
US7577834B1 (en) * | 2000-05-09 | 2009-08-18 | Sun Microsystems, Inc. | Message authentication using message gates in a distributed computing environment |
US8135796B1 (en) * | 2000-05-09 | 2012-03-13 | Oracle America, Inc. | Mechanism and apparatus for accessing and addressing services in a distributed computing environment |
WO2001088811A2 (en) * | 2000-05-12 | 2001-11-22 | Invisible Hand Networks, Inc. | Method and system for market based resource allocation |
US7475404B2 (en) | 2000-05-18 | 2009-01-06 | Maquis Techtrix Llc | System and method for implementing click-through for browser executed software including ad proxy and proxy cookie caching |
US8086697B2 (en) | 2005-06-28 | 2011-12-27 | Claria Innovations, Llc | Techniques for displaying impressions in documents delivered over a computer network |
US6876997B1 (en) | 2000-05-22 | 2005-04-05 | Overture Services, Inc. | Method and apparatus for indentifying related searches in a database search system |
US20010049320A1 (en) * | 2000-05-24 | 2001-12-06 | Cohen Michael Alvarez | Pricing exercise equipment according to usage |
JP2002049850A (en) * | 2000-05-24 | 2002-02-15 | Sony Computer Entertainment Inc | Advertisement supply system |
AU2001264947B2 (en) * | 2000-05-24 | 2005-02-24 | Excalibur Ip, Llc | Online media exchange |
AU2001264965A1 (en) * | 2000-05-26 | 2001-12-11 | Exitexchange Corporation | Post-session internet advertising system |
US6990462B1 (en) * | 2000-06-17 | 2006-01-24 | Microsoft Corporation | Inventory management |
JP2002032590A (en) * | 2000-06-22 | 2002-01-31 | Internatl Business Mach Corp <Ibm> | Method and system for advertisement, method and system for dealing advertisement frame, and recording medium |
IL153104A0 (en) * | 2000-06-26 | 2003-06-24 | Nds Ltd | Time shifted interactive television |
JP2002015217A (en) * | 2000-06-30 | 2002-01-18 | Fujitsu Ltd | Digital content advertisement display system using auction |
WO2002003303A1 (en) * | 2000-07-05 | 2002-01-10 | Paid Search Engine Tools, L.L.C. | Paid search engine bid management |
GB0017380D0 (en) * | 2000-07-14 | 2000-08-30 | Mailround Com Limited | Information communication system |
US7660737B1 (en) | 2000-07-18 | 2010-02-09 | Smartpenny.Com, Inc. | Economic filtering system for delivery of permission based, targeted, incentivized advertising |
US8060416B2 (en) * | 2000-07-18 | 2011-11-15 | Yahoo! Inc. | Method and system for providing advertising inventory information in response to demographic inquiries |
JP3335342B2 (en) * | 2000-07-24 | 2002-10-15 | 哲弘 永野 | Information distribution system in communication |
KR20020010220A (en) * | 2000-07-27 | 2002-02-04 | 송지용 | Auction regulation of Advertisement in Internet site |
US8291008B2 (en) * | 2000-07-31 | 2012-10-16 | Sony Corporation | Information image use system using information image |
US7702541B2 (en) * | 2000-08-01 | 2010-04-20 | Yahoo! Inc. | Targeted e-commerce system |
US7451099B2 (en) * | 2000-08-30 | 2008-11-11 | Kontera Technologies, Inc. | Dynamic document context mark-up technique implemented over a computer network |
US7284008B2 (en) * | 2000-08-30 | 2007-10-16 | Kontera Technologies, Inc. | Dynamic document context mark-up technique implemented over a computer network |
US7478089B2 (en) * | 2003-10-29 | 2009-01-13 | Kontera Technologies, Inc. | System and method for real-time web page context analysis for the real-time insertion of textual markup objects and dynamic content |
US7099304B2 (en) | 2000-09-05 | 2006-08-29 | Flexiworld Technologies, Inc. | Apparatus, methods and systems for anonymous communication |
US7650304B1 (en) | 2000-09-08 | 2010-01-19 | Capital One Financial Corporation | Solicitation to web marketing loop process |
US7567916B1 (en) * | 2000-09-12 | 2009-07-28 | Capital One Financial Corporation | System and method for performing Web based in-view monitoring |
JP2002092347A (en) * | 2000-09-13 | 2002-03-29 | Nippon Telegr & Teleph Corp <Ntt> | Method for opening contents to the public |
US20020072972A1 (en) * | 2000-09-22 | 2002-06-13 | Lamont Robert G. | Method and system for delayed advertising |
US20020059387A1 (en) * | 2000-09-26 | 2002-05-16 | Wolfe Robert L. | Method and apparatus for identifying user characteristics and device characteristics using a communication network |
US6901429B2 (en) * | 2000-10-27 | 2005-05-31 | Eric Morgan Dowling | Negotiated wireless peripheral security systems |
US7035932B1 (en) * | 2000-10-27 | 2006-04-25 | Eric Morgan Dowling | Federated multiprotocol communication |
US6965914B2 (en) * | 2000-10-27 | 2005-11-15 | Eric Morgan Dowling | Negotiated wireless peripheral systems |
US20020112035A1 (en) * | 2000-10-30 | 2002-08-15 | Carey Brian M. | System and method for performing content experience management |
US20100299251A1 (en) * | 2000-11-06 | 2010-11-25 | Consumer And Merchant Awareness Foundation | Pay yourself first with revenue generation |
JP3919441B2 (en) * | 2000-11-07 | 2007-05-23 | 富士通株式会社 | Advertisement destination determination processing method and advertisement provision destination determination method |
JP2002163542A (en) * | 2000-11-22 | 2002-06-07 | Mitsubishi Research Institute Inc | Information providing system, server computer and recording medium |
US20050086112A1 (en) * | 2000-11-28 | 2005-04-21 | Roy Shkedi | Super-saturation method for information-media |
US6832207B1 (en) * | 2000-11-28 | 2004-12-14 | Almond Net, Inc. | Super saturation method for information-media |
AU2002219879A1 (en) * | 2000-12-01 | 2002-06-11 | Peter I. Ohtaki | Cross technology monitoring, profiling and predictive caching method and system |
US20020194601A1 (en) * | 2000-12-01 | 2002-12-19 | Perkes Ronald M. | System, method and computer program product for cross technology monitoring, profiling and predictive caching in a peer to peer broadcasting and viewing framework |
US20020091565A1 (en) * | 2001-01-05 | 2002-07-11 | Yuan-Chieh Lee | Control system for agent websites |
US20020143630A1 (en) * | 2001-01-10 | 2002-10-03 | Steinman Jonas L. | Method and apparatus for serving or delivering advertisements for a world wide web page |
KR100384899B1 (en) * | 2001-01-10 | 2003-05-23 | 한국전자통신연구원 | Method for seamless inter frequency hard handover in wireless telecommunication system |
US20080071775A1 (en) * | 2001-01-18 | 2008-03-20 | Overture Services, Inc. | System And Method For Ranking Items |
US20020099834A1 (en) * | 2001-01-19 | 2002-07-25 | Neoplanet, Inc. | Rules-based decision engine |
JP2002216017A (en) * | 2001-01-22 | 2002-08-02 | Sony Corp | Auction method for advertisement frame and its device and recording medium |
WO2002071189A2 (en) * | 2001-03-05 | 2002-09-12 | American Express Travel Related Services Company, Inc. | System and method for integrating offers |
US20030144907A1 (en) * | 2001-03-05 | 2003-07-31 | American Express Travel Related Services Company, Inc. | System and method for administering incentive offers |
US20020169669A1 (en) * | 2001-03-09 | 2002-11-14 | Stetson Samantha H. | Method and apparatus for serving a message in conjuction with an advertisement for display on a world wide web page |
US7330895B1 (en) * | 2001-03-15 | 2008-02-12 | Microsoft Corporation | Representation, decision models, and user interface for encoding managing preferences, and performing automated decision making about the timing and modalities of interpersonal communications |
US6988132B2 (en) * | 2001-03-15 | 2006-01-17 | Microsoft Corporation | System and method for identifying and establishing preferred modalities or channels for communications based on participants' preferences and contexts |
CA2341813A1 (en) * | 2001-03-22 | 2002-09-22 | Arlen Ritchie | A method of communicating over an interactive medium |
US20070265910A1 (en) * | 2006-05-10 | 2007-11-15 | Kivin Varghese | Attention marketplace |
US20070106557A1 (en) * | 2001-04-12 | 2007-05-10 | Kivin Varghese | Advertisements with Compensation for Attention |
US20080021783A1 (en) * | 2001-04-12 | 2008-01-24 | Kivin Varghese | Affiliate Distribution of Advertisements with Compensation for Attention |
US7089195B2 (en) | 2001-04-30 | 2006-08-08 | Ari Rosenberg | System and method for the presentation of advertisements |
US20020162106A1 (en) * | 2001-04-30 | 2002-10-31 | Pickover Clifford Alan | Method and system for information insertion |
US20040138946A1 (en) * | 2001-05-04 | 2004-07-15 | Markus Stolze | Web page annotation systems |
US7219139B2 (en) * | 2001-06-29 | 2007-05-15 | Claria Corporation | System and method for using continuous messaging units in a network architecture |
US7609829B2 (en) * | 2001-07-03 | 2009-10-27 | Apptera, Inc. | Multi-platform capable inference engine and universal grammar language adapter for intelligent voice application execution |
US20030007609A1 (en) * | 2001-07-03 | 2003-01-09 | Yuen Michael S. | Method and apparatus for development, deployment, and maintenance of a voice software application for distribution to one or more consumers |
US20030028618A1 (en) * | 2001-07-25 | 2003-02-06 | Currans Kevin G. | Automated publishing content procurement |
US20030023631A1 (en) * | 2001-07-26 | 2003-01-30 | Castle Daniel C. | Advertisement selection engine for placing micro-advertising |
EP1412874A4 (en) * | 2001-07-27 | 2007-10-17 | Quigo Technologies Inc | System and method for automated tracking and analysis of document usage |
FR2828369B1 (en) * | 2001-07-31 | 2003-11-28 | Thomson Licensing Sa | METHOD FOR RECEIVING AUDIOVISUAL PROGRAMS PROPOSED BY USERS, TERMINAL AND SERVER FOR IMPLEMENTING THE METHOD |
US7076479B1 (en) | 2001-08-03 | 2006-07-11 | Overture Services, Inc. | Search engine account monitoring |
US7043471B2 (en) * | 2001-08-03 | 2006-05-09 | Overture Services, Inc. | Search engine account monitoring |
AU2002326362A1 (en) * | 2001-08-17 | 2003-03-03 | Claim Resolution Management Corporation | Method and apparatus for electronic processing of claims |
US20030041005A1 (en) * | 2001-08-21 | 2003-02-27 | Parry Travis J. | Rating system and method for on-line services auction marketplace |
JP3931066B2 (en) * | 2001-09-26 | 2007-06-13 | 富士通株式会社 | Content distribution system, content distribution server, content distribution program, and computer-readable recording medium recording the program |
US8521827B2 (en) | 2001-10-18 | 2013-08-27 | Carhamm Ltd., Llc | Presentation of information to end-users |
GB2398147A (en) * | 2001-11-07 | 2004-08-11 | Bloomberg Lp | Automated trading of financial interests |
US6826572B2 (en) | 2001-11-13 | 2004-11-30 | Overture Services, Inc. | System and method allowing advertisers to manage search listings in a pay for placement search system using grouping |
US20030101126A1 (en) * | 2001-11-13 | 2003-05-29 | Cheung Dominic Dough-Ming | Position bidding in a pay for placement database search system |
US20030110079A1 (en) * | 2001-12-12 | 2003-06-12 | Weisman Mitchell T. | Method and apparatus for providing items to users in a computer network |
US20030115597A1 (en) * | 2001-12-14 | 2003-06-19 | Koninklijke Philips Electronics N.V. | Micro-auction on television for the selection of commercials |
US7644144B1 (en) | 2001-12-21 | 2010-01-05 | Microsoft Corporation | Methods, tools, and interfaces for the dynamic assignment of people to groups to enable enhanced communication and collaboration |
EP1459234A4 (en) * | 2001-12-28 | 2009-06-24 | Miva Inc | System and method for pay for performance advertising in general media |
US7565367B2 (en) * | 2002-01-15 | 2009-07-21 | Iac Search & Media, Inc. | Enhanced popularity ranking |
US20030139966A1 (en) * | 2002-01-23 | 2003-07-24 | Sirota Peter L. | Advertisement delivery for streaming program |
US8590013B2 (en) | 2002-02-25 | 2013-11-19 | C. S. Lee Crawford | Method of managing and communicating data pertaining to software applications for processor-based devices comprising wireless communication circuitry |
CA2478376C (en) * | 2002-03-13 | 2014-03-11 | Aptimus, Inc. | Method and system for placing offers using randomization |
US20040150676A1 (en) * | 2002-03-25 | 2004-08-05 | Gottfurcht Elliot A. | Apparatus and method for simple wide-area network navigation |
US20070038614A1 (en) * | 2005-08-10 | 2007-02-15 | Guha Ramanathan V | Generating and presenting advertisements based on context data for programmable search engines |
US7680796B2 (en) * | 2003-09-03 | 2010-03-16 | Google, Inc. | Determining and/or using location information in an ad system |
US7693830B2 (en) | 2005-08-10 | 2010-04-06 | Google Inc. | Programmable search engine |
US7792698B1 (en) | 2002-11-08 | 2010-09-07 | Google, Inc. | Automated price maintenance for use with a system in which advertisements are rendered with relative preferences |
US7716199B2 (en) * | 2005-08-10 | 2010-05-11 | Google Inc. | Aggregating context data for programmable search engines |
US7743045B2 (en) | 2005-08-10 | 2010-06-22 | Google Inc. | Detecting spam related and biased contexts for programmable search engines |
US20070038603A1 (en) * | 2005-08-10 | 2007-02-15 | Guha Ramanathan V | Sharing context data across programmable search engines |
JP2005521971A (en) * | 2002-04-01 | 2005-07-21 | オーバーチュア サービシズ インコーポレイテッド | Display a paid search table proportional to advertising spend |
US7096200B2 (en) * | 2002-04-23 | 2006-08-22 | Microsoft Corporation | System and method for evaluating and enhancing source anonymity for encrypted web traffic |
US7054857B2 (en) * | 2002-05-08 | 2006-05-30 | Overture Services, Inc. | Use of extensible markup language in a system and method for influencing a position on a search result list generated by a computer network search engine |
US7069515B1 (en) | 2002-05-21 | 2006-06-27 | Claria Corporation | Method and apparatus for displaying messages in computer systems |
US7231395B2 (en) * | 2002-05-24 | 2007-06-12 | Overture Services, Inc. | Method and apparatus for categorizing and presenting documents of a distributed database |
US8260786B2 (en) * | 2002-05-24 | 2012-09-04 | Yahoo! Inc. | Method and apparatus for categorizing and presenting documents of a distributed database |
US9569797B1 (en) | 2002-05-30 | 2017-02-14 | Consumerinfo.Com, Inc. | Systems and methods of presenting simulated credit score information |
US20040003036A1 (en) * | 2002-06-04 | 2004-01-01 | Eagle Scott G. | Identifying the source of messages presented in a computer system |
US8195508B1 (en) | 2002-06-27 | 2012-06-05 | The New York Times Company | Method for online session advertising |
US7870240B1 (en) | 2002-06-28 | 2011-01-11 | Microsoft Corporation | Metadata schema for interpersonal communications management systems |
US7752072B2 (en) * | 2002-07-16 | 2010-07-06 | Google Inc. | Method and system for providing advertising through content specific nodes over the internet |
US8050970B2 (en) | 2002-07-25 | 2011-11-01 | Google Inc. | Method and system for providing filtered and/or masked advertisements over the internet |
US20040044571A1 (en) * | 2002-08-27 | 2004-03-04 | Bronnimann Eric Robert | Method and system for providing advertising listing variance in distribution feeds over the internet to maximize revenue to the advertising distributor |
US20040044567A1 (en) * | 2002-09-03 | 2004-03-04 | Daniel Willis | Gaming service provider advertising system |
US8311890B2 (en) * | 2002-11-01 | 2012-11-13 | Google Inc. | Method and system for dynamic textual ad distribution via email |
US7603341B2 (en) * | 2002-11-05 | 2009-10-13 | Claria Corporation | Updating the content of a presentation vehicle in a computer network |
US7512603B1 (en) | 2002-11-05 | 2009-03-31 | Claria Corporation | Responding to end-user request for information in a computer network |
US20040093299A1 (en) * | 2002-11-07 | 2004-05-13 | International Business Machines Corporation | System and method for coalescing information for presentation to a vehicle operator |
AU2003248880A1 (en) * | 2002-11-26 | 2004-06-18 | The Advertizing Firm, Inc. | Method and system of advertising |
KR100511111B1 (en) * | 2002-12-17 | 2005-08-31 | 오현승 | System for providing advertisement service and method thereof |
US8306908B1 (en) | 2002-12-31 | 2012-11-06 | West Corporation | Methods and apparatus for intelligent selection of goods and services in telephonic and electronic commerce |
US7779247B2 (en) * | 2003-01-09 | 2010-08-17 | Jericho Systems Corporation | Method and system for dynamically implementing an enterprise resource policy |
US20040186776A1 (en) * | 2003-01-28 | 2004-09-23 | Llach Eduardo F. | System for automatically selling and purchasing highly targeted and dynamic advertising impressions using a mixture of price metrics |
US7953667B1 (en) * | 2003-02-07 | 2011-05-31 | Britesmart Corp. | Method and system to detect invalid and fraudulent impressions and clicks in web-based advertisement systems |
US8489460B2 (en) | 2003-02-26 | 2013-07-16 | Adobe Systems Incorporated | Method and apparatus for advertising bidding |
US20110071900A1 (en) * | 2009-09-18 | 2011-03-24 | Efficient Frontier | Advertisee-history-based bid generation system and method for multi-channel advertising |
US7627640B2 (en) * | 2003-03-17 | 2009-12-01 | Epostal Services, Inc. | Messaging and document management system and method |
MXPA05008750A (en) * | 2003-03-17 | 2005-09-20 | Epostal Services Inc | Messaging and document management system and method. |
US8069076B2 (en) * | 2003-03-25 | 2011-11-29 | Cox Communications, Inc. | Generating audience analytics |
US20040193605A1 (en) * | 2003-03-25 | 2004-09-30 | Weisman Mitchell T. | Control of access to computers in a computer network |
US20040189710A1 (en) * | 2003-03-28 | 2004-09-30 | Goulden David L. | Technique for displaying a window in a computer screen |
US7885849B2 (en) | 2003-06-05 | 2011-02-08 | Hayley Logistics Llc | System and method for predicting demand for items |
US8140388B2 (en) * | 2003-06-05 | 2012-03-20 | Hayley Logistics Llc | Method for implementing online advertising |
US7685117B2 (en) | 2003-06-05 | 2010-03-23 | Hayley Logistics Llc | Method for implementing search engine |
US7890363B2 (en) | 2003-06-05 | 2011-02-15 | Hayley Logistics Llc | System and method of identifying trendsetters |
US7689432B2 (en) | 2003-06-06 | 2010-03-30 | Hayley Logistics Llc | System and method for influencing recommender system & advertising based on programmed policies |
US7792828B2 (en) | 2003-06-25 | 2010-09-07 | Jericho Systems Corporation | Method and system for selecting content items to be presented to a viewer |
US8321267B2 (en) * | 2003-06-30 | 2012-11-27 | Mindspark Interactive Network, Inc. | Method, system and apparatus for targeting an offer |
US8122014B2 (en) * | 2003-07-02 | 2012-02-21 | Vibrant Media, Inc. | Layered augmentation for web content |
US7260783B1 (en) | 2003-07-08 | 2007-08-21 | Falk Esolutions Gmbh | System and method for delivering targeted content |
US20050021416A1 (en) * | 2003-07-23 | 2005-01-27 | Anderson Glen J. | Method and apparatus for third party bidding in sales transactions |
US20050028188A1 (en) * | 2003-08-01 | 2005-02-03 | Latona Richard Edward | System and method for determining advertising effectiveness |
US7831573B2 (en) | 2003-08-12 | 2010-11-09 | Hewlett-Packard Development Company, L.P. | System and method for committing to a set |
US7698165B1 (en) * | 2003-09-02 | 2010-04-13 | AudienceScience Inc. | Accepting bids to advertise to users performing a specific activity |
US7516086B2 (en) | 2003-09-24 | 2009-04-07 | Idearc Media Corp. | Business rating placement heuristic |
US7050990B1 (en) | 2003-09-24 | 2006-05-23 | Verizon Directories Corp. | Information distribution system |
US7974878B1 (en) | 2003-09-24 | 2011-07-05 | SuperMedia LLC | Information distribution system and method that provides for enhanced display formats |
DE10345065A1 (en) * | 2003-09-26 | 2005-04-14 | Boehringer Ingelheim Pharma Gmbh & Co. Kg | Aerosol formulation for inhalation containing an anticholinergic |
US8321278B2 (en) * | 2003-09-30 | 2012-11-27 | Google Inc. | Targeted advertisements based on user profiles and page profile |
US20050076017A1 (en) * | 2003-10-03 | 2005-04-07 | Rein Douglas R. | Method and system for scheduling search terms in a search engine account |
US20050080667A1 (en) * | 2003-10-08 | 2005-04-14 | Sbc Knowledge Ventures, L.P. | System and method for automated customized content delivery for web sites |
US20050086109A1 (en) * | 2003-10-17 | 2005-04-21 | Mcfadden Jeffrey A. | Methods and apparatus for posting messages on documents delivered over a computer network |
US7930206B2 (en) * | 2003-11-03 | 2011-04-19 | Google Inc. | System and method for enabling an advertisement to follow the user to additional web pages |
US20050096980A1 (en) * | 2003-11-03 | 2005-05-05 | Ross Koningstein | System and method for delivering internet advertisements that change between textual and graphical ads on demand by a user |
US9136956B2 (en) * | 2003-11-05 | 2015-09-15 | Comcast Cable Holdings, Llc | Method and system for planning and running video-on-demand advertising |
US20050149880A1 (en) * | 2003-11-06 | 2005-07-07 | Richard Postrel | Method and system for user control of secondary content displayed on a computing device |
US8024323B1 (en) | 2003-11-13 | 2011-09-20 | AudienceScience Inc. | Natural language search for audience |
US7697673B2 (en) | 2003-11-17 | 2010-04-13 | Apptera Inc. | System for advertisement selection, placement and delivery within a multiple-tenant voice interaction service system |
US20050163136A1 (en) * | 2003-11-17 | 2005-07-28 | Leo Chiu | Multi-tenant self-service VXML portal |
US8170912B2 (en) | 2003-11-25 | 2012-05-01 | Carhamm Ltd., Llc | Database structure and front end |
US20050144064A1 (en) * | 2003-12-19 | 2005-06-30 | Palo Alto Research Center Incorporated | Keyword advertisement management |
US20050144068A1 (en) * | 2003-12-19 | 2005-06-30 | Palo Alto Research Center Incorporated | Secondary market for keyword advertising |
US20050144065A1 (en) * | 2003-12-19 | 2005-06-30 | Palo Alto Research Center Incorporated | Keyword advertisement management with coordinated bidding among advertisers |
US20050144067A1 (en) * | 2003-12-19 | 2005-06-30 | Palo Alto Research Center Incorporated | Identifying and reporting unexpected behavior in targeted advertising environment |
US20050137939A1 (en) * | 2003-12-19 | 2005-06-23 | Palo Alto Research Center Incorporated | Server-based keyword advertisement management |
US10387920B2 (en) | 2003-12-23 | 2019-08-20 | Roku, Inc. | System and method for offering and billing advertisement opportunities |
US7979877B2 (en) | 2003-12-23 | 2011-07-12 | Intellocity Usa Inc. | Advertising methods for advertising time slots and embedded objects |
US9865017B2 (en) | 2003-12-23 | 2018-01-09 | Opentv, Inc. | System and method for providing interactive advertisement |
US10032192B2 (en) | 2003-12-23 | 2018-07-24 | Roku, Inc. | Automatic localization of advertisements |
US20050144069A1 (en) * | 2003-12-23 | 2005-06-30 | Wiseman Leora R. | Method and system for providing targeted graphical advertisements |
US8055553B1 (en) | 2006-01-19 | 2011-11-08 | Verizon Laboratories Inc. | Dynamic comparison text functionality |
US20050216940A1 (en) * | 2004-03-25 | 2005-09-29 | Comcast Cable Holdings, Llc | Method and system which enables subscribers to select videos from websites for on-demand delivery to subscriber televisions via cable television network |
US20050216933A1 (en) * | 2004-03-25 | 2005-09-29 | Comcast Cable Holdings, Llc | Method and system which enables users to select videos from cable provider web site for on-demand delivery from the cable provider to user televisions via cable television network |
WO2005098675A1 (en) * | 2004-03-26 | 2005-10-20 | Alex Mashinski | Exchange of newly-added information over the internet |
US20050222900A1 (en) * | 2004-03-30 | 2005-10-06 | Prashant Fuloria | Selectively delivering advertisements based at least in part on trademark issues |
US7533090B2 (en) | 2004-03-30 | 2009-05-12 | Google Inc. | System and method for rating electronic documents |
US20050222903A1 (en) * | 2004-03-31 | 2005-10-06 | Paul Buchheit | Rendering content-targeted ads with e-mail |
US9959383B1 (en) * | 2004-04-30 | 2018-05-01 | Time Warner, Inc. | Apparatus, method and system for brokering and provision of intelligent advertisement |
US7996753B1 (en) | 2004-05-10 | 2011-08-09 | Google Inc. | Method and system for automatically creating an image advertisement |
US8065611B1 (en) | 2004-06-30 | 2011-11-22 | Google Inc. | Method and system for mining image searches to associate images with concepts |
US7801738B2 (en) * | 2004-05-10 | 2010-09-21 | Google Inc. | System and method for rating documents comprising an image |
US7639898B1 (en) | 2004-05-10 | 2009-12-29 | Google Inc. | Method and system for approving documents based on image similarity |
US11409812B1 (en) | 2004-05-10 | 2022-08-09 | Google Llc | Method and system for mining image searches to associate images with concepts |
US20050267799A1 (en) * | 2004-05-10 | 2005-12-01 | Wesley Chan | System and method for enabling publishers to select preferred types of electronic documents |
US7697791B1 (en) | 2004-05-10 | 2010-04-13 | Google Inc. | Method and system for providing targeted documents based on concepts automatically identified therein |
US20070016559A1 (en) * | 2005-07-14 | 2007-01-18 | Yahoo! Inc. | User entertainment and engagement enhancements to search system |
US7484247B2 (en) | 2004-08-07 | 2009-01-27 | Allen F Rozman | System and method for protecting a computer system from malicious software |
US8078602B2 (en) | 2004-12-17 | 2011-12-13 | Claria Innovations, Llc | Search engine for a computer network |
US8255413B2 (en) | 2004-08-19 | 2012-08-28 | Carhamm Ltd., Llc | Method and apparatus for responding to request for information-personalization |
JP2008511057A (en) | 2004-08-19 | 2008-04-10 | クラリア コーポレイション | Method and apparatus for responding to end-user information requests |
US9129312B1 (en) | 2004-08-25 | 2015-09-08 | Amazon Technologies, Inc. | Bidding on pending, query term-based advertising opportunities |
US8732004B1 (en) | 2004-09-22 | 2014-05-20 | Experian Information Solutions, Inc. | Automated analysis of data to generate prospect notifications based on trigger events |
US7178720B1 (en) | 2004-09-30 | 2007-02-20 | West Corporation | Methods, computer-readable media, and computer program product for intelligent selection of items encoded onto portable machine-playable entertainment media |
US7904337B2 (en) | 2004-10-19 | 2011-03-08 | Steve Morsa | Match engine marketing |
US8799079B2 (en) * | 2004-10-22 | 2014-08-05 | Adknowledge, Inc. | System for prioritizing advertiser communications over a network |
US7689458B2 (en) * | 2004-10-29 | 2010-03-30 | Microsoft Corporation | Systems and methods for determining bid value for content items to be placed on a rendered page |
US8762280B1 (en) | 2004-12-02 | 2014-06-24 | Google Inc. | Method and system for using a network analysis system to verify content on a website |
US20060122879A1 (en) * | 2004-12-07 | 2006-06-08 | O'kelley Brian | Method and system for pricing electronic advertisements |
US7693863B2 (en) * | 2004-12-20 | 2010-04-06 | Claria Corporation | Method and device for publishing cross-network user behavioral data |
US7917387B2 (en) * | 2005-01-07 | 2011-03-29 | Kayak Software Corporation | Individualized marketing to improve capacity utilization |
US20060173744A1 (en) * | 2005-02-01 | 2006-08-03 | Kandasamy David R | Method and apparatus for generating, optimizing, and managing granular advertising campaigns |
US20060173822A1 (en) * | 2005-02-03 | 2006-08-03 | Microsoft Corporation | System and method for optimization of results based on monetization intent |
CA2596930A1 (en) * | 2005-02-07 | 2006-08-10 | Adzilla, Inc. | Method and system of targeting content |
US7657520B2 (en) * | 2005-03-03 | 2010-02-02 | Google, Inc. | Providing history and transaction volume information of a content source to users |
US8645941B2 (en) | 2005-03-07 | 2014-02-04 | Carhamm Ltd., Llc | Method for attributing and allocating revenue related to embedded software |
US8087068B1 (en) | 2005-03-08 | 2011-12-27 | Google Inc. | Verifying access to a network account over multiple user communication portals based on security criteria |
US8887224B2 (en) | 2005-03-09 | 2014-11-11 | Vudu, Inc. | Updating content libraries by transmitting release data |
US20090019489A1 (en) * | 2005-03-09 | 2009-01-15 | Vvond, Inc. | Method and apparatus for displaying movie titles based on distributed objects |
US20080022343A1 (en) | 2006-07-24 | 2008-01-24 | Vvond, Inc. | Multiple audio streams |
US7757080B1 (en) | 2005-03-11 | 2010-07-13 | Google Inc. | User validation using cookies and isolated backup validation |
US8073866B2 (en) | 2005-03-17 | 2011-12-06 | Claria Innovations, Llc | Method for providing content to an internet user based on the user's demonstrated content preferences |
US20060224445A1 (en) * | 2005-03-30 | 2006-10-05 | Brian Axe | Adjusting an advertising cost, such as a per-ad impression cost, using a likelihood that the ad will be sensed or perceived by users |
US20060224447A1 (en) * | 2005-03-31 | 2006-10-05 | Ross Koningstein | Automated offer management using audience segment information |
US20060248061A1 (en) * | 2005-04-13 | 2006-11-02 | Kulakow Arthur J | Web page with tabbed display regions for displaying search results |
US7917389B2 (en) * | 2005-04-15 | 2011-03-29 | The Go Daddy Group, Inc. | Relevant email ads for domain name advertiser |
US7921035B2 (en) * | 2005-04-15 | 2011-04-05 | The Go Daddy Group, Inc. | Parked webpage domain name suggestions |
US7890369B2 (en) * | 2005-04-15 | 2011-02-15 | The Go Daddy Group, Inc. | Relevant online ads for domain name advertiser |
JP2008539512A (en) * | 2005-04-26 | 2008-11-13 | ガヴァーニング ダイナミクス リミティド ライアビリティ カンパニー | How to install digital goods in a dynamic, real-time environment |
US20060253319A1 (en) * | 2005-05-04 | 2006-11-09 | Microsoft Corporation | Mechanism for allocating advertisements of varying intervals |
US8719396B2 (en) | 2005-05-20 | 2014-05-06 | Vibrant Media Limited | Fraud prevention and detection for online advertising |
US20070162342A1 (en) * | 2005-05-20 | 2007-07-12 | Steven Klopf | Digital advertising system |
US20070011050A1 (en) * | 2005-05-20 | 2007-01-11 | Steven Klopf | Digital advertising system |
US7744256B2 (en) * | 2006-05-22 | 2010-06-29 | Edison Price Lighting, Inc. | LED array wafer lighting fixture |
US11210632B2 (en) | 2005-06-13 | 2021-12-28 | Rakuten Group, Inc. | Computer method and apparatus for targeting advertising |
US10510043B2 (en) * | 2005-06-13 | 2019-12-17 | Skyword Inc. | Computer method and apparatus for targeting advertising |
US7725502B1 (en) | 2005-06-15 | 2010-05-25 | Google Inc. | Time-multiplexing documents based on preferences or relatedness |
US7903099B2 (en) | 2005-06-20 | 2011-03-08 | Google Inc. | Allocating advertising space in a network of displays |
US20070011020A1 (en) * | 2005-07-05 | 2007-01-11 | Martin Anthony G | Categorization of locations and documents in a computer network |
US7840438B2 (en) * | 2005-07-29 | 2010-11-23 | Yahoo! Inc. | System and method for discounting of historical click through data for multiple versions of an advertisement |
US20070038508A1 (en) * | 2005-08-10 | 2007-02-15 | Microsoft Corporation | Normalized click-through advertisement pricing |
US20070038509A1 (en) * | 2005-08-10 | 2007-02-15 | Microsoft Corporation | Budget-based advertisement placement |
US20090013350A1 (en) * | 2005-08-11 | 2009-01-08 | Vvond, Llc | Display of movie titles in a library |
US7729977B2 (en) * | 2005-08-17 | 2010-06-01 | Quan Xiao | Method and system for grouping merchandise, services and users and for trading merchandise and services |
US8739231B2 (en) * | 2005-08-23 | 2014-05-27 | Vudu, Inc. | System and method for distributed video-on-demand |
US20070050254A1 (en) * | 2005-08-29 | 2007-03-01 | Espeed, Inc. | System and method for trading context-specific advertising |
US20070050241A1 (en) * | 2005-08-29 | 2007-03-01 | Jones John O | System For Enhancing Web-based Marketing Efficiency of Fragmented Business |
US8615719B2 (en) | 2005-09-14 | 2013-12-24 | Jumptap, Inc. | Managing sponsored content for delivery to mobile communication facilities |
US7548915B2 (en) * | 2005-09-14 | 2009-06-16 | Jorey Ramer | Contextual mobile content placement on a mobile communication facility |
US9058406B2 (en) | 2005-09-14 | 2015-06-16 | Millennial Media, Inc. | Management of multiple advertising inventories using a monetization platform |
US8238888B2 (en) | 2006-09-13 | 2012-08-07 | Jumptap, Inc. | Methods and systems for mobile coupon placement |
US8819659B2 (en) | 2005-09-14 | 2014-08-26 | Millennial Media, Inc. | Mobile search service instant activation |
US20070060173A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Managing sponsored content based on transaction history |
US20070100805A1 (en) * | 2005-09-14 | 2007-05-03 | Jorey Ramer | Mobile content cross-inventory yield optimization |
US20090029687A1 (en) * | 2005-09-14 | 2009-01-29 | Jorey Ramer | Combining mobile and transcoded content in a mobile search result |
US20080214152A1 (en) * | 2005-09-14 | 2008-09-04 | Jorey Ramer | Methods and systems of mobile dynamic content presentation |
US20080214155A1 (en) * | 2005-11-01 | 2008-09-04 | Jorey Ramer | Integrating subscription content into mobile search results |
US20090234745A1 (en) * | 2005-11-05 | 2009-09-17 | Jorey Ramer | Methods and systems for mobile coupon tracking |
US8515400B2 (en) | 2005-09-14 | 2013-08-20 | Jumptap, Inc. | System for targeting advertising content to a plurality of mobile communication facilities |
US20070073718A1 (en) * | 2005-09-14 | 2007-03-29 | Jorey Ramer | Mobile search service instant activation |
US20070061317A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Mobile search substring query completion |
US8156128B2 (en) | 2005-09-14 | 2012-04-10 | Jumptap, Inc. | Contextual mobile content placement on a mobile communication facility |
US8812526B2 (en) | 2005-09-14 | 2014-08-19 | Millennial Media, Inc. | Mobile content cross-inventory yield optimization |
US20070118533A1 (en) * | 2005-09-14 | 2007-05-24 | Jorey Ramer | On-off handset search box |
US9703892B2 (en) | 2005-09-14 | 2017-07-11 | Millennial Media Llc | Predictive text completion for a mobile communication facility |
US8503995B2 (en) | 2005-09-14 | 2013-08-06 | Jumptap, Inc. | Mobile dynamic advertisement creation and placement |
US8688671B2 (en) | 2005-09-14 | 2014-04-01 | Millennial Media | Managing sponsored content based on geographic region |
US8666376B2 (en) | 2005-09-14 | 2014-03-04 | Millennial Media | Location based mobile shopping affinity program |
US8290810B2 (en) | 2005-09-14 | 2012-10-16 | Jumptap, Inc. | Realtime surveying within mobile sponsored content |
US20070288427A1 (en) * | 2005-09-14 | 2007-12-13 | Jorey Ramer | Mobile pay-per-call campaign creation |
US20080215623A1 (en) * | 2005-09-14 | 2008-09-04 | Jorey Ramer | Mobile communication facility usage and social network creation |
US20070061211A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Preventing mobile communication facility click fraud |
US7860871B2 (en) | 2005-09-14 | 2010-12-28 | Jumptap, Inc. | User history influenced search results |
US8229914B2 (en) | 2005-09-14 | 2012-07-24 | Jumptap, Inc. | Mobile content spidering and compatibility determination |
US20110106614A1 (en) * | 2005-11-01 | 2011-05-05 | Jumptap, Inc. | Mobile User Characteristics Influenced Search Results |
US20080214204A1 (en) * | 2005-11-01 | 2008-09-04 | Jorey Ramer | Similarity based location mapping of mobile comm facility users |
US20090240568A1 (en) * | 2005-09-14 | 2009-09-24 | Jorey Ramer | Aggregation and enrichment of behavioral profile data using a monetization platform |
US20080214151A1 (en) * | 2005-09-14 | 2008-09-04 | Jorey Ramer | Methods and systems for mobile coupon placement |
US20080214154A1 (en) * | 2005-11-01 | 2008-09-04 | Jorey Ramer | Associating mobile and non mobile web content |
US8832100B2 (en) | 2005-09-14 | 2014-09-09 | Millennial Media, Inc. | User transaction history influenced search results |
US8311888B2 (en) | 2005-09-14 | 2012-11-13 | Jumptap, Inc. | Revenue models associated with syndication of a behavioral profile using a monetization platform |
US8027879B2 (en) | 2005-11-05 | 2011-09-27 | Jumptap, Inc. | Exclusivity bidding for mobile sponsored content |
US8195133B2 (en) | 2005-09-14 | 2012-06-05 | Jumptap, Inc. | Mobile dynamic advertisement creation and placement |
US8364540B2 (en) | 2005-09-14 | 2013-01-29 | Jumptap, Inc. | Contextual targeting of content using a monetization platform |
US7752209B2 (en) * | 2005-09-14 | 2010-07-06 | Jumptap, Inc. | Presenting sponsored content on a mobile communication facility |
US20070061247A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Expected value and prioritization of mobile content |
US7577665B2 (en) | 2005-09-14 | 2009-08-18 | Jumptap, Inc. | User characteristic influenced search results |
US20080214148A1 (en) * | 2005-11-05 | 2008-09-04 | Jorey Ramer | Targeting mobile sponsored content within a social network |
US20070073717A1 (en) * | 2005-09-14 | 2007-03-29 | Jorey Ramer | Mobile comparison shopping |
US20080215429A1 (en) * | 2005-11-01 | 2008-09-04 | Jorey Ramer | Using a mobile communication facility for offline ad searching |
US20070061198A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Mobile pay-per-call campaign creation |
US20070061242A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Implicit searching for mobile content |
US20080214153A1 (en) * | 2005-09-14 | 2008-09-04 | Jorey Ramer | Mobile User Profile Creation based on User Browse Behaviors |
US20110313853A1 (en) | 2005-09-14 | 2011-12-22 | Jorey Ramer | System for targeting advertising content to a plurality of mobile communication facilities |
US8103545B2 (en) | 2005-09-14 | 2012-01-24 | Jumptap, Inc. | Managing payment for sponsored content presented to mobile communication facilities |
US7660581B2 (en) | 2005-09-14 | 2010-02-09 | Jumptap, Inc. | Managing sponsored content based on usage history |
US20110143731A1 (en) * | 2005-09-14 | 2011-06-16 | Jorey Ramer | Mobile Communication Facility Usage Pattern Geographic Based Advertising |
US8660891B2 (en) | 2005-11-01 | 2014-02-25 | Millennial Media | Interactive mobile advertisement banners |
US8989718B2 (en) | 2005-09-14 | 2015-03-24 | Millennial Media, Inc. | Idle screen advertising |
US20070073722A1 (en) * | 2005-09-14 | 2007-03-29 | Jorey Ramer | Calculation and presentation of mobile content expected value |
US20090234711A1 (en) * | 2005-09-14 | 2009-09-17 | Jorey Ramer | Aggregation of behavioral profile data using a monetization platform |
US10592930B2 (en) | 2005-09-14 | 2020-03-17 | Millenial Media, LLC | Syndication of a behavioral profile using a monetization platform |
US20070061334A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Search query address redirection on a mobile communication facility |
US7912458B2 (en) | 2005-09-14 | 2011-03-22 | Jumptap, Inc. | Interaction analysis and prioritization of mobile content |
US9076175B2 (en) | 2005-09-14 | 2015-07-07 | Millennial Media, Inc. | Mobile comparison shopping |
US20080215557A1 (en) * | 2005-11-05 | 2008-09-04 | Jorey Ramer | Methods and systems of mobile query classification |
US10038756B2 (en) | 2005-09-14 | 2018-07-31 | Millenial Media LLC | Managing sponsored content based on device characteristics |
US7676394B2 (en) | 2005-09-14 | 2010-03-09 | Jumptap, Inc. | Dynamic bidding and expected value |
US8302030B2 (en) | 2005-09-14 | 2012-10-30 | Jumptap, Inc. | Management of multiple advertising inventories using a monetization platform |
US10911894B2 (en) | 2005-09-14 | 2021-02-02 | Verizon Media Inc. | Use of dynamic content generation parameters based on previous performance of those parameters |
US7769764B2 (en) | 2005-09-14 | 2010-08-03 | Jumptap, Inc. | Mobile advertisement syndication |
US20070239724A1 (en) * | 2005-09-14 | 2007-10-11 | Jorey Ramer | Mobile search services related to direct identifiers |
US20070100806A1 (en) * | 2005-11-01 | 2007-05-03 | Jorey Ramer | Client libraries for mobile content |
US20080242279A1 (en) * | 2005-09-14 | 2008-10-02 | Jorey Ramer | Behavior-based mobile content placement on a mobile communication facility |
US8805339B2 (en) | 2005-09-14 | 2014-08-12 | Millennial Media, Inc. | Categorization of a mobile user profile based on browse and viewing behavior |
US8209344B2 (en) | 2005-09-14 | 2012-06-26 | Jumptap, Inc. | Embedding sponsored content in mobile applications |
US8131271B2 (en) | 2005-11-05 | 2012-03-06 | Jumptap, Inc. | Categorization of a mobile user profile based on browse behavior |
US7702318B2 (en) | 2005-09-14 | 2010-04-20 | Jumptap, Inc. | Presentation of sponsored content based on mobile transaction event |
US9471925B2 (en) | 2005-09-14 | 2016-10-18 | Millennial Media Llc | Increasing mobile interactivity |
US8364521B2 (en) | 2005-09-14 | 2013-01-29 | Jumptap, Inc. | Rendering targeted advertisement on mobile communication facilities |
US9201979B2 (en) | 2005-09-14 | 2015-12-01 | Millennial Media, Inc. | Syndication of a behavioral profile associated with an availability condition using a monetization platform |
US20070073579A1 (en) * | 2005-09-23 | 2007-03-29 | Microsoft Corporation | Click fraud resistant learning of click through rate |
US20070073696A1 (en) * | 2005-09-28 | 2007-03-29 | Google, Inc. | Online data verification of listing data |
US7945585B1 (en) | 2005-10-13 | 2011-05-17 | Hewlett-Packard Development Company, L.P. | Method and system for improving targeted data delivery |
US7945545B1 (en) | 2005-10-13 | 2011-05-17 | Hewlett-Packard Development Company, L.P. | Method and system for utilizing user information to provide a network address |
WO2007053797A2 (en) * | 2005-10-14 | 2007-05-10 | Brown Reed M | Apparatus, system and method for managing listings |
US8280906B1 (en) * | 2005-10-27 | 2012-10-02 | Hewlett-Packard Development Company, L.P. | Method and system for retaining offers for delivering targeted data in a system for targeted data delivery |
US8175585B2 (en) | 2005-11-05 | 2012-05-08 | Jumptap, Inc. | System for targeting advertising content to a plurality of mobile communication facilities |
US20090024602A1 (en) * | 2005-11-07 | 2009-01-22 | Vvond, Llc | Method and apparatus for searching a video library by genre |
US8159959B2 (en) * | 2005-11-07 | 2012-04-17 | Vudu, Inc. | Graphic user interface for playing video data |
US8571999B2 (en) | 2005-11-14 | 2013-10-29 | C. S. Lee Crawford | Method of conducting operations for a social network application including activity list generation |
US20100285818A1 (en) * | 2009-05-08 | 2010-11-11 | Crawford C S Lee | Location based service for directing ads to subscribers |
US20100121705A1 (en) * | 2005-11-14 | 2010-05-13 | Jumptap, Inc. | Presentation of Sponsored Content Based on Device Characteristics |
US20070115512A1 (en) * | 2005-11-18 | 2007-05-24 | The Go Daddy Group, Inc. | Relevant messages associated with outgoing fax documents |
US20070129999A1 (en) * | 2005-11-18 | 2007-06-07 | Jie Zhou | Fraud detection in web-based advertising |
US20070115498A1 (en) * | 2005-11-18 | 2007-05-24 | The Go Daddy Group, Inc. | Relevant messages associated with incoming fax documents |
US7603619B2 (en) * | 2005-11-29 | 2009-10-13 | Google Inc. | Formatting a user network site based on user preferences and format performance data |
US7818340B1 (en) * | 2005-12-01 | 2010-10-19 | Peter Warren | Computer-implemented method and system for enabling network communication using sponsored chat links |
US20070130004A1 (en) * | 2005-12-01 | 2007-06-07 | Microsoft Corporation | AD campaign optimization |
US8732186B2 (en) | 2005-12-01 | 2014-05-20 | Peter Warren | Computer-implemented method and system for enabling communication between networked users based on common characteristics |
US20070130005A1 (en) * | 2005-12-02 | 2007-06-07 | Michael Jaschke | Method for consumer data brokerage |
EP2021995A4 (en) | 2005-12-06 | 2011-06-01 | Berman Joel | Method and system for scoring quality of traffic to network sites |
US7725530B2 (en) * | 2005-12-12 | 2010-05-25 | Google Inc. | Proxy server collection of data for module incorporation into a container document |
US20070204010A1 (en) * | 2005-12-12 | 2007-08-30 | Steven Goldberg | Remote Module Syndication System and Method |
US9294334B2 (en) | 2005-12-12 | 2016-03-22 | Google Inc. | Controlling communication within a container document |
US7730109B2 (en) * | 2005-12-12 | 2010-06-01 | Google, Inc. | Message catalogs for remote modules |
US8185819B2 (en) | 2005-12-12 | 2012-05-22 | Google Inc. | Module specification for a module to be incorporated into a container document |
US7730082B2 (en) | 2005-12-12 | 2010-06-01 | Google Inc. | Remote module incorporation into a container document |
US7971137B2 (en) * | 2005-12-14 | 2011-06-28 | Google Inc. | Detecting and rejecting annoying documents |
US20070143296A1 (en) * | 2005-12-15 | 2007-06-21 | Kanoodle.Com, Inc. | Taxonomy-based method and system for targeted advertising |
US8099508B2 (en) | 2005-12-16 | 2012-01-17 | Comcast Cable Holdings, Llc | Method of using tokens and policy descriptors for dynamic on demand session management |
US20070150347A1 (en) * | 2005-12-22 | 2007-06-28 | Bhamidipati Venkata S J | Dynamic backfill of advertisement content using second advertisement source |
US20070150341A1 (en) * | 2005-12-22 | 2007-06-28 | Aftab Zia | Advertising content timeout methods in multiple-source advertising systems |
US7813959B2 (en) * | 2005-12-22 | 2010-10-12 | Aol Inc. | Altering keyword-based requests for content |
US7809605B2 (en) * | 2005-12-22 | 2010-10-05 | Aol Inc. | Altering keyword-based requests for content |
US20070150346A1 (en) * | 2005-12-22 | 2007-06-28 | Sobotka David C | Dynamic rotation of multiple keyphrases for advertising content supplier |
US20070150343A1 (en) * | 2005-12-22 | 2007-06-28 | Kannapell John E Ii | Dynamically altering requests to increase user response to advertisements |
US20070150342A1 (en) * | 2005-12-22 | 2007-06-28 | Law Justin M | Dynamic selection of blended content from multiple media sources |
US20070150348A1 (en) * | 2005-12-22 | 2007-06-28 | Hussain Muhammad M | Providing and using a quality score in association with the serving of ADS to determine page layout |
US20070179841A1 (en) * | 2005-12-30 | 2007-08-02 | Shai Agassi | Method and system for providing sponsored content based on user information |
US7711607B2 (en) * | 2005-12-30 | 2010-05-04 | Sap Ag | Method and system for deploying a business application |
US20070185721A1 (en) * | 2005-12-30 | 2007-08-09 | Shai Agassi | Content center and method for business process applications |
US20070162456A1 (en) * | 2005-12-30 | 2007-07-12 | Shai Agassi | Method and system for providing context based content for computer applications |
US20070156519A1 (en) * | 2005-12-30 | 2007-07-05 | Shai Agassi | Method and system for providing sponsored content based on previous provided content |
US20070156505A1 (en) * | 2005-12-30 | 2007-07-05 | Shai Agassi | Method and system for providing feedback on business transactions using computer applications |
WO2007086234A1 (en) * | 2006-01-27 | 2007-08-02 | Pioneer Corporation | Prioritized-program information delivering system, prioritized-program information delivering method, broadcast receiving apparatus, and prioritized-program information delivering apparatus |
US20070192356A1 (en) * | 2006-01-31 | 2007-08-16 | O'kelley Charles Brian | Open media exchange platforms |
US20070198350A1 (en) * | 2006-01-31 | 2007-08-23 | O'kelley Charles Brian | Global constraints in open exchange platforms |
US20070185779A1 (en) * | 2006-01-31 | 2007-08-09 | O'kelley Charles Brian | Open exchange platforms |
US20070192217A1 (en) * | 2006-01-31 | 2007-08-16 | O'kelley Charles Brian | Entity linking in open exchange platforms |
US20080059298A1 (en) * | 2006-02-15 | 2008-03-06 | Liquidity Services Inc. | Dynamic keyword auctioning system, method and computer program product |
NZ545529A (en) * | 2006-02-24 | 2008-11-28 | Ammas Com Ltd | Improvements in or relating to a promotional system |
US7711636B2 (en) | 2006-03-10 | 2010-05-04 | Experian Information Solutions, Inc. | Systems and methods for analyzing data |
US20070233503A1 (en) * | 2006-03-31 | 2007-10-04 | Meyer Michael M | Bidding for on-line survey placement |
US20070239533A1 (en) * | 2006-03-31 | 2007-10-11 | Susan Wojcicki | Allocating and monetizing advertising space in offline media through online usage and pricing model |
US9710818B2 (en) * | 2006-04-03 | 2017-07-18 | Kontera Technologies, Inc. | Contextual advertising techniques for implemented at mobile devices |
US20100138451A1 (en) * | 2006-04-03 | 2010-06-03 | Assaf Henkin | Techniques for facilitating on-line contextual analysis and advertising |
US8296181B1 (en) | 2006-04-27 | 2012-10-23 | Hewlett-Packard Development Company, L.P. | Method and system for offsetting printing costs in a system for targeted data delivery |
US8015117B1 (en) | 2006-04-27 | 2011-09-06 | Hewlett-Packard Development Company, L.P. | Method and system for anonymous reporting |
US7574408B2 (en) * | 2006-05-05 | 2009-08-11 | Microsoft Corporation | Publisher unions |
US20070260514A1 (en) | 2006-05-05 | 2007-11-08 | Microsoft Corporation | Distributed architecture for online advertising |
US7894448B1 (en) | 2006-05-24 | 2011-02-22 | Hewlett-Packard Development Company, L.P. | Proving that a user profile satisfies selection criteria for targeted data delivery |
US7747745B2 (en) | 2006-06-16 | 2010-06-29 | Almondnet, Inc. | Media properties selection method and system based on expected profit from profile-based ad delivery |
WO2007149888A2 (en) * | 2006-06-19 | 2007-12-27 | Almondnet, Inc. | Providing collected profiles to media properties having specified interests |
US11288686B2 (en) * | 2006-06-22 | 2022-03-29 | Rohit Chandra | Identifying micro users interests: at a finer level of granularity |
US11853374B2 (en) | 2006-06-22 | 2023-12-26 | Rohit Chandra | Directly, automatically embedding a content portion |
US11429685B2 (en) | 2006-06-22 | 2022-08-30 | Rohit Chandra | Sharing only a part of a web page—the part selected by a user |
US11301532B2 (en) | 2006-06-22 | 2022-04-12 | Rohit Chandra | Searching for user selected portions of content |
US7975150B1 (en) | 2006-06-28 | 2011-07-05 | Hewlett-Packard Development Company, L.P. | Method and system for protecting queryable data |
US8023927B1 (en) | 2006-06-29 | 2011-09-20 | Google Inc. | Abuse-resistant method of registering user accounts with an online service |
US7779147B1 (en) | 2006-06-30 | 2010-08-17 | Amazon Technologies, Inc. | Method and system for advertisement placement based on network trail proximity |
US7809801B1 (en) | 2006-06-30 | 2010-10-05 | Amazon Technologies, Inc. | Method and system for keyword selection based on proximity in network trails |
US7577921B2 (en) * | 2006-07-18 | 2009-08-18 | Vudu, Inc. | Method and system for performing search using acronym |
US8234157B2 (en) * | 2006-07-24 | 2012-07-31 | Emergency 24, Inc. | Method for internet based advertising and referral using a fixed fee methodology |
US7890857B1 (en) | 2006-07-25 | 2011-02-15 | Hewlett-Packard Development Company, L.P. | Method and system for utilizing sizing directives for media |
US8954861B1 (en) | 2006-08-07 | 2015-02-10 | Google Inc. | Administrator configurable gadget directory for personalized start pages |
US8407250B2 (en) | 2006-08-07 | 2013-03-26 | Google Inc. | Distribution of content document to varying users with security customization and scalability |
US8185830B2 (en) | 2006-08-07 | 2012-05-22 | Google Inc. | Configuring a content document for users and user groups |
US20080046315A1 (en) * | 2006-08-17 | 2008-02-21 | Google, Inc. | Realizing revenue from advertisement placement |
US8764541B2 (en) | 2006-09-19 | 2014-07-01 | Cfph, Llc | Secondary game |
US8070582B2 (en) | 2007-03-01 | 2011-12-06 | Cfph, Llc | Automatic game play |
US7833101B2 (en) | 2006-08-24 | 2010-11-16 | Cfph, Llc | Secondary game |
US7585217B2 (en) | 2006-09-05 | 2009-09-08 | Cfph, Llc | Secondary game |
US8216056B2 (en) | 2007-02-13 | 2012-07-10 | Cfph, Llc | Card picks for progressive prize |
US8398489B2 (en) | 2007-04-05 | 2013-03-19 | Cfph, Llc | Sorting games of chance |
US8323102B2 (en) | 2006-10-06 | 2012-12-04 | Cfph, Llc | Remote play of a table game through a mobile device |
US8398481B2 (en) | 2006-08-31 | 2013-03-19 | Cfph, Llc | Secondary game |
US8393954B2 (en) | 2006-12-29 | 2013-03-12 | Cfph, Llc | Top performers |
US10607435B2 (en) | 2007-04-11 | 2020-03-31 | Cfph, Llc | Game of chance display |
US8932124B2 (en) | 2006-08-31 | 2015-01-13 | Cfph, Llc | Game of chance systems and methods |
US9595169B2 (en) | 2006-08-31 | 2017-03-14 | Cfph, Llc | Game of chance systems and methods |
US8758109B2 (en) | 2008-08-20 | 2014-06-24 | Cfph, Llc | Game of chance systems and methods |
US20080065481A1 (en) * | 2006-09-13 | 2008-03-13 | Microsoft Corporation | User-associated, interactive advertising monetization |
US8036979B1 (en) | 2006-10-05 | 2011-10-11 | Experian Information Solutions, Inc. | System and method for generating a finance attribute from tradeline data |
US8073681B2 (en) | 2006-10-16 | 2011-12-06 | Voicebox Technologies, Inc. | System and method for a cooperative conversational voice user interface |
US8087019B1 (en) | 2006-10-31 | 2011-12-27 | Aol Inc. | Systems and methods for performing machine-implemented tasks |
US8799082B2 (en) * | 2006-10-31 | 2014-08-05 | Microsoft Corporation | Generalized online matching and real time risk management |
US20080109840A1 (en) * | 2006-11-07 | 2008-05-08 | Sbc Knowledge Ventures, L.P. | System and method for advertisement skipping |
US9754444B2 (en) | 2006-12-06 | 2017-09-05 | Cfph, Llc | Method and apparatus for advertising on a mobile gaming device |
US9600959B2 (en) * | 2007-01-09 | 2017-03-21 | Cfph, Llp | System for managing promotions |
US20080140508A1 (en) * | 2006-12-12 | 2008-06-12 | Shubhasheesh Anand | System for optimizing the performance of a smart advertisement |
US8831987B2 (en) | 2006-12-19 | 2014-09-09 | The Rubicon Project | Managing bids in a real-time auction for advertisements |
KR20090089914A (en) * | 2006-12-19 | 2009-08-24 | 팍스 인터렉티브 미디어, 인크. | Auction for each individual ad impression |
US20100145809A1 (en) * | 2006-12-19 | 2010-06-10 | Fox Audience Network, Inc. | Applications for auction for each individual ad impression |
KR20100039825A (en) * | 2006-12-22 | 2010-04-16 | 폼 유케이, 인코포레이티드 | Systems and methods for channeling client network activity |
US8402114B2 (en) | 2006-12-28 | 2013-03-19 | Advertising.Com Llc | Systems and methods for selecting advertisements for display over a communications network |
US8620952B2 (en) | 2007-01-03 | 2013-12-31 | Carhamm Ltd., Llc | System for database reporting |
US8554868B2 (en) | 2007-01-05 | 2013-10-08 | Yahoo! Inc. | Simultaneous sharing communication interface |
US7707226B1 (en) | 2007-01-29 | 2010-04-27 | Aol Inc. | Presentation of content items based on dynamic monitoring of real-time context |
US7593928B2 (en) * | 2007-01-29 | 2009-09-22 | Aol Llc | Dynamically altering search result page layout to increase user response |
US8606626B1 (en) | 2007-01-31 | 2013-12-10 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US8606666B1 (en) | 2007-01-31 | 2013-12-10 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US7818176B2 (en) | 2007-02-06 | 2010-10-19 | Voicebox Technologies, Inc. | System and method for selecting and presenting advertisements based on natural language processing of voice-based input |
US8771058B2 (en) | 2007-02-15 | 2014-07-08 | Cfph, Llc | Zone dependent payout percentage |
US20080201188A1 (en) * | 2007-02-17 | 2008-08-21 | Heyman Steven C | Niche-oriented advertising networks platform and methods of operating same |
US7711716B2 (en) | 2007-03-06 | 2010-05-04 | Microsoft Corporation | Optimizations for a background database consistency check |
US20080228564A1 (en) * | 2007-03-12 | 2008-09-18 | Microsoft Corporation | Weighted-Parameter Auction |
US20080228550A1 (en) * | 2007-03-14 | 2008-09-18 | Business Objects, S.A. | Apparatus and method for utilizing a task grid to generate a data migration task |
US20080249876A1 (en) * | 2007-04-06 | 2008-10-09 | James Rice | Method and system using distributions for making and optimizing offer selections |
US7861260B2 (en) | 2007-04-17 | 2010-12-28 | Almondnet, Inc. | Targeted television advertisements based on online behavior |
US20080262917A1 (en) * | 2007-04-19 | 2008-10-23 | Jeff Green | Internet advertising impression-based auction exchange system |
US20080319850A1 (en) * | 2007-06-20 | 2008-12-25 | Sekindo Ltd | Method for managing website advertising space |
US20090012852A1 (en) * | 2007-07-03 | 2009-01-08 | Right Media, Inc. | Data marketplace and broker fees |
US20090013031A1 (en) * | 2007-07-03 | 2009-01-08 | Right Media, Inc. | Inferring legitimacy of web-based resource requests |
US20090012853A1 (en) * | 2007-07-03 | 2009-01-08 | Right Media, Inc. | Inferring legitimacy of advertisement calls |
US20090018907A1 (en) * | 2007-07-11 | 2009-01-15 | Right Media, Inc. | Managing impression defaults |
US20090125398A1 (en) * | 2007-08-02 | 2009-05-14 | William Cochran | Methods of computing advertising value through real-time auction |
US8442969B2 (en) * | 2007-08-14 | 2013-05-14 | John Nicholas Gross | Location based news and search engine |
US20090055267A1 (en) * | 2007-08-23 | 2009-02-26 | Robert Roker | Internet advertising brokerage apparatus, systems, and methods |
US8500533B2 (en) | 2007-08-29 | 2013-08-06 | Cfph, Llc | Game with chance element and strategy component that can be copied |
US8494902B2 (en) | 2007-08-31 | 2013-07-23 | At&T Intellectual Property I, L.P. | System and method of selecting advertising content |
US7908238B1 (en) | 2007-08-31 | 2011-03-15 | Yahoo! Inc. | Prediction engines using probability tree and computing node probabilities for the probability tree |
US8826157B2 (en) * | 2007-08-31 | 2014-09-02 | At&T Intellectual Property I, L.P. | System and method to generate a shopping cart list |
US8583488B2 (en) * | 2007-09-17 | 2013-11-12 | Google Inc. | Generating advertisements using user assets |
US9690820B1 (en) | 2007-09-27 | 2017-06-27 | Experian Information Solutions, Inc. | Database system for triggering event notifications based on updates to database records |
US20080033822A1 (en) * | 2007-10-03 | 2008-02-07 | The Go Daddy Group, Inc. | Systems and methods for filtering online advertisements containing third-party trademarks |
US8165985B2 (en) | 2007-10-12 | 2012-04-24 | Palo Alto Research Center Incorporated | System and method for performing discovery of digital information in a subject area |
US8073682B2 (en) | 2007-10-12 | 2011-12-06 | Palo Alto Research Center Incorporated | System and method for prospecting digital information |
US8671104B2 (en) | 2007-10-12 | 2014-03-11 | Palo Alto Research Center Incorporated | System and method for providing orientation into digital information |
US9123079B2 (en) | 2007-11-05 | 2015-09-01 | Facebook, Inc. | Sponsored stories unit creation from organic activity stream |
US8799068B2 (en) * | 2007-11-05 | 2014-08-05 | Facebook, Inc. | Social advertisements and other informational messages on a social networking website, and advertising model for same |
US9990652B2 (en) | 2010-12-15 | 2018-06-05 | Facebook, Inc. | Targeting social advertising to friends of users who have interacted with an object associated with the advertising |
US20120203831A1 (en) | 2011-02-03 | 2012-08-09 | Kent Schoen | Sponsored Stories Unit Creation from Organic Activity Stream |
US20090125358A1 (en) * | 2007-11-09 | 2009-05-14 | Michael Reynard | Integrated Appointment Scheduling And Targeted Advertising |
US7853558B2 (en) * | 2007-11-09 | 2010-12-14 | Vibrant Media, Inc. | Intelligent augmentation of media content |
US11062351B1 (en) | 2007-11-15 | 2021-07-13 | Verizon Media Inc. | Systems and methods for allocating electronic advertising opportunities |
US20090204495A1 (en) * | 2007-12-01 | 2009-08-13 | Schroeder John Z | Method of advertising |
US8140335B2 (en) | 2007-12-11 | 2012-03-20 | Voicebox Technologies, Inc. | System and method for providing a natural language voice user interface in an integrated voice navigation services environment |
US20090164949A1 (en) * | 2007-12-20 | 2009-06-25 | Kontera Technologies, Inc. | Hybrid Contextual Advertising Technique |
US8429145B2 (en) * | 2007-12-21 | 2013-04-23 | Yahoo! Inc. | Syndicating humor |
US20090222316A1 (en) * | 2008-02-28 | 2009-09-03 | Yahoo!, Inc. | Method to tag advertiser campaigns to enable segmentation of underlying inventory |
US8473346B2 (en) | 2008-03-11 | 2013-06-25 | The Rubicon Project, Inc. | Ad network optimization system and method thereof |
WO2009114634A1 (en) * | 2008-03-11 | 2009-09-17 | Hongguag Bi | Ad matching system and method thereof |
US7962438B2 (en) * | 2008-03-26 | 2011-06-14 | The Go Daddy Group, Inc. | Suggesting concept-based domain names |
US7904445B2 (en) * | 2008-03-26 | 2011-03-08 | The Go Daddy Group, Inc. | Displaying concept-based search results |
US20090248736A1 (en) * | 2008-03-26 | 2009-10-01 | The Go Daddy Group, Inc. | Displaying concept-based targeted advertising |
US8069187B2 (en) * | 2008-03-26 | 2011-11-29 | The Go Daddy Group, Inc. | Suggesting concept-based top-level domain names |
US8706552B1 (en) * | 2008-04-01 | 2014-04-22 | Flightview Inc. | Targeted advertisements to scheduled transportation users |
JP5462242B2 (en) * | 2008-04-04 | 2014-04-02 | グーグル・インコーポレーテッド | Dynamic selection and distribution of content |
US8285737B1 (en) | 2008-04-10 | 2012-10-09 | Google Inc. | Selecting content for publication |
US9305548B2 (en) | 2008-05-27 | 2016-04-05 | Voicebox Technologies Corporation | System and method for an integrated, multi-modal, multi-device natural language voice services environment |
US8595097B2 (en) | 2008-05-30 | 2013-11-26 | Yahoo! Inc. | Automatic ad group creation in a networked advertising environment |
US8228196B1 (en) * | 2008-07-25 | 2012-07-24 | Sprint Communications Company L.P. | Displaying advertisements based on electronic tags |
US8142283B2 (en) | 2008-08-20 | 2012-03-27 | Cfph, Llc | Game of chance processing apparatus |
US8758111B2 (en) | 2008-08-20 | 2014-06-24 | Cfph, Llc | Game of chance systems and methods |
US8010545B2 (en) * | 2008-08-28 | 2011-08-30 | Palo Alto Research Center Incorporated | System and method for providing a topic-directed search |
US8209616B2 (en) * | 2008-08-28 | 2012-06-26 | Palo Alto Research Center Incorporated | System and method for interfacing a web browser widget with social indexing |
US20100057536A1 (en) | 2008-08-28 | 2010-03-04 | Palo Alto Research Center Incorporated | System And Method For Providing Community-Based Advertising Term Disambiguation |
US20100057577A1 (en) | 2008-08-28 | 2010-03-04 | Palo Alto Research Center Incorporated | System And Method For Providing Topic-Guided Broadening Of Advertising Targets In Social Indexing |
US8549163B2 (en) * | 2008-09-18 | 2013-10-01 | Jonathan M. Urdan | Passive parameter based demographics generation |
US20100082404A1 (en) * | 2008-09-30 | 2010-04-01 | Yahoo! Inc. | System and method for utilizing date constraints in an advertisement serving system |
US20100107187A1 (en) * | 2008-10-24 | 2010-04-29 | At&T Intellectual Property I, L.P. | System and Method of Displaying Advertising Content |
US8549016B2 (en) * | 2008-11-14 | 2013-10-01 | Palo Alto Research Center Incorporated | System and method for providing robust topic identification in social indexes |
US20100174638A1 (en) | 2009-01-06 | 2010-07-08 | ConsumerInfo.com | Report existence monitoring |
US20100185687A1 (en) * | 2009-01-14 | 2010-07-22 | Microsoft Corporation | Selecting advertisements |
US8356044B2 (en) * | 2009-01-27 | 2013-01-15 | Palo Alto Research Center Incorporated | System and method for providing default hierarchical training for social indexing |
US8239397B2 (en) * | 2009-01-27 | 2012-08-07 | Palo Alto Research Center Incorporated | System and method for managing user attention by detecting hot and cold topics in social indexes |
US8452781B2 (en) * | 2009-01-27 | 2013-05-28 | Palo Alto Research Center Incorporated | System and method for using banded topic relevance and time for article prioritization |
US20100198695A1 (en) * | 2009-01-30 | 2010-08-05 | Google Inc. | Advertisement Slot Allocation |
US8688517B2 (en) | 2009-02-13 | 2014-04-01 | Cfph, Llc | Method and apparatus for advertising on a mobile gaming device |
US8326637B2 (en) | 2009-02-20 | 2012-12-04 | Voicebox Technologies, Inc. | System and method for processing multi-modal device interactions in a natural language voice services environment |
US20100223132A1 (en) * | 2009-02-27 | 2010-09-02 | The Go Daddy Group, Inc. | Embedding advertisements offering available, dynamic-content-relevant domain names in online video |
US20100223113A1 (en) * | 2009-02-27 | 2010-09-02 | The Go Daddy Group, Inc. | Systems for embedding advertisements offering available, dynamic-content-relevant domain names in online video |
US20100223278A1 (en) * | 2009-02-27 | 2010-09-02 | The Go Daddy Group, Inc. | Generating online advertisments based upon available dynamic content relevant domain names |
US20100223143A1 (en) * | 2009-02-27 | 2010-09-02 | The Go Daddy Group, Inc. | Dynamic content relevant domain name suggestion in online advertising |
JP5390642B2 (en) * | 2009-03-03 | 2014-01-15 | グーグル・インコーポレーテッド | Method and system for providing advertisements to social network users |
US9996845B2 (en) | 2009-03-03 | 2018-06-12 | Google Llc | Bidding on users |
BRPI0924431A2 (en) * | 2009-03-03 | 2016-01-26 | Google Inc | adheat social network ad template |
US10262337B2 (en) * | 2009-03-06 | 2019-04-16 | AppNexus Inc. | Advertising platform transaction management |
US20100280866A1 (en) * | 2009-05-01 | 2010-11-04 | Sung Hyun Moon | Apparatus and method for providing ugc including advertisement |
US20110015996A1 (en) * | 2009-07-14 | 2011-01-20 | Anna Kassoway | Systems and Methods For Providing Keyword Related Search Results in Augmented Content for Text on a Web Page |
KR20110014125A (en) * | 2009-08-04 | 2011-02-10 | 엔에이치엔비즈니스플랫폼 주식회사 | System and method for providing marketing message |
US20110035256A1 (en) * | 2009-08-05 | 2011-02-10 | Roy Shkedi | Systems and methods for prioritized selection of media properties for providing user profile information used in advertising |
US8312364B2 (en) * | 2009-09-17 | 2012-11-13 | Go Daddy Operating Company, LLC | Social website domain registration announcement and search engine feed |
US8276057B2 (en) * | 2009-09-17 | 2012-09-25 | Go Daddy Operating Company, LLC | Announcing a domain name registration on a social website |
US20110071901A1 (en) * | 2009-09-21 | 2011-03-24 | Alexander Fries | Online Advertising Methods and Systems and Revenue Sharing Methods and Systems Related to Same |
US20110093375A1 (en) * | 2009-10-15 | 2011-04-21 | Sony Corporation | System and method for supporting a bidding procedure in an electronic network |
US8666812B1 (en) * | 2009-11-10 | 2014-03-04 | Google Inc. | Distributing content based on transaction information |
US20110153414A1 (en) * | 2009-12-23 | 2011-06-23 | Jon Elvekrog | Method and system for dynamic advertising based on user actions |
WO2011085252A1 (en) * | 2010-01-08 | 2011-07-14 | Fox Audience Network, Inc | Content security for real- time bidding |
US8566166B1 (en) * | 2010-01-25 | 2013-10-22 | Pricegrabber.Com, Inc. | Rule-based bidding platform |
EP2548167A4 (en) * | 2010-03-16 | 2014-03-05 | Appnexus Inc | Advertising server and media management platform |
US8452658B2 (en) | 2010-03-23 | 2013-05-28 | Qazzoo, Llc | Method and apparatus for connecting consumers with one or more product or service providers |
US9652802B1 (en) | 2010-03-24 | 2017-05-16 | Consumerinfo.Com, Inc. | Indirect monitoring and reporting of a user's credit data |
US9858593B2 (en) | 2010-04-09 | 2018-01-02 | Go Daddy Operating Company, LLC | URL shortening based online advertising |
US9031944B2 (en) | 2010-04-30 | 2015-05-12 | Palo Alto Research Center Incorporated | System and method for providing multi-core and multi-level topical organization in social indexes |
US20110288937A1 (en) * | 2010-05-24 | 2011-11-24 | Manoogian Iii John | Scaling persona targeted advertisements |
US8751305B2 (en) | 2010-05-24 | 2014-06-10 | 140 Proof, Inc. | Targeting users based on persona data |
US8504419B2 (en) * | 2010-05-28 | 2013-08-06 | Apple Inc. | Network-based targeted content delivery based on queue adjustment factors calculated using the weighted combination of overall rank, context, and covariance scores for an invitational content item |
US8983859B2 (en) * | 2010-06-18 | 2015-03-17 | Microsoft Technology Licensing, Llc | User centric real-time advertisement bidding |
US9348935B2 (en) | 2010-06-29 | 2016-05-24 | Vibrant Media, Inc. | Systems and methods for augmenting a keyword of a web page with video content |
US9002895B2 (en) | 2010-06-29 | 2015-04-07 | Vibrant Media, Inc. | Systems and methods for providing modular configurable creative units for delivery via intext advertising |
US8306858B2 (en) * | 2010-07-14 | 2012-11-06 | Google Inc. | Consolidated content item request for multiple environments |
US8533141B2 (en) | 2010-08-31 | 2013-09-10 | Vibrant Media, Inc. | Systems and methods for rule based inclusion of pixel retargeting in campaign management |
CA2810541C (en) | 2010-09-22 | 2019-02-12 | Mainak Mazumdar | Methods and apparatus to determine impressions using distributed demographic information |
US10699293B2 (en) | 2010-10-07 | 2020-06-30 | Rakuten Marketing Llc | Network based system and method for managing and implementing online commerce |
US8606635B2 (en) * | 2010-10-15 | 2013-12-10 | Google Inc. | System and method for presenting content on a retailer's content page using manufacturers' product information |
US20120130805A1 (en) * | 2010-11-18 | 2012-05-24 | Google Inc. | Selecting media advertisements for presentation based on their predicted playtimes |
US20120136728A1 (en) * | 2010-11-30 | 2012-05-31 | Brightroll, Inc. | Networked advertisement exchange |
US20120158502A1 (en) * | 2010-12-17 | 2012-06-21 | Microsoft Corporation | Prioritizing advertisements based on user engagement |
US20120173385A1 (en) * | 2010-12-30 | 2012-07-05 | Futurewei Technologies, Inc. | Method and System for a Cloud Based Online Commerce and Listing Service for Item Providers |
US9199172B2 (en) | 2011-01-25 | 2015-12-01 | International Business Machines Corporation | System for software work events |
US9235728B2 (en) | 2011-02-18 | 2016-01-12 | Csidentity Corporation | System and methods for identifying compromised personally identifiable information on the internet |
US20120215613A1 (en) * | 2011-02-22 | 2012-08-23 | Rajiv Madhok | System and method for managing offers for prepaid telephony accounts |
US9558519B1 (en) | 2011-04-29 | 2017-01-31 | Consumerinfo.Com, Inc. | Exposing reporting cycle information |
WO2013008238A1 (en) | 2011-07-12 | 2013-01-17 | Mobli Technologies 2010 Ltd. | Methods and systems of providing visual content editing functions |
US9262766B2 (en) | 2011-08-31 | 2016-02-16 | Vibrant Media, Inc. | Systems and methods for contextualizing services for inline mobile banner advertising |
WO2013059844A1 (en) * | 2011-10-19 | 2013-04-25 | Steven Mark Levinsohn | Billboard exposure determining system and method |
US11030562B1 (en) | 2011-10-31 | 2021-06-08 | Consumerinfo.Com, Inc. | Pre-data breach monitoring |
WO2013086435A1 (en) * | 2011-12-09 | 2013-06-13 | Pubmatic, Inc. | Granular control application for delivering online advertising |
US11734712B2 (en) | 2012-02-24 | 2023-08-22 | Foursquare Labs, Inc. | Attributing in-store visits to media consumption based on data collected from user devices |
US8972357B2 (en) | 2012-02-24 | 2015-03-03 | Placed, Inc. | System and method for data collection to validate location data |
US20130226713A1 (en) * | 2012-02-28 | 2013-08-29 | Microsoft Corporation | Bid discounting using externalities |
US9501777B1 (en) * | 2012-03-06 | 2016-11-22 | Boingo Wireless, Inc. | Systems and methods for MAC address tracking for a mobile device |
EP2825983A1 (en) | 2012-03-15 | 2015-01-21 | Vibrant Media, Inc. | Systems and methods for delivery techniques of contextualized services on mobile devices |
US20130268351A1 (en) * | 2012-04-05 | 2013-10-10 | Comscore, Inc. | Verified online impressions |
WO2013166588A1 (en) | 2012-05-08 | 2013-11-14 | Bitstrips Inc. | System and method for adaptable avatars |
US9947029B2 (en) | 2012-06-29 | 2018-04-17 | AppNexus Inc. | Auction tiering in online advertising auction exchanges |
US20140032323A1 (en) * | 2012-07-30 | 2014-01-30 | Sanjaykumar Harish Joshi | System is described for providing targeted business messages (announcement, promotion, etc.) to potential customers near the business location |
US10832313B2 (en) | 2012-09-29 | 2020-11-10 | Xandr Inc. | Systems and methods for serving secure content |
US20140108128A1 (en) * | 2012-10-12 | 2014-04-17 | Chetan Patel | Dynamic content item creation |
US8812387B1 (en) | 2013-03-14 | 2014-08-19 | Csidentity Corporation | System and method for identifying related credit inquiries |
US9332035B2 (en) | 2013-10-10 | 2016-05-03 | The Nielsen Company (Us), Llc | Methods and apparatus to measure exposure to streaming media |
US20150161678A1 (en) * | 2013-12-05 | 2015-06-11 | Turn Inc. | Dynamic ordering of online advertisement software steps |
CH709062B1 (en) * | 2013-12-27 | 2017-02-28 | Tc Logiciel S À R L | A computer-implemented system and method for connecting buyers and sellers of goods or services. |
US9628950B1 (en) | 2014-01-12 | 2017-04-18 | Investment Asset Holdings Llc | Location-based messaging |
US10262362B1 (en) | 2014-02-14 | 2019-04-16 | Experian Information Solutions, Inc. | Automatic generation of code for attributes |
US10679257B2 (en) | 2014-05-26 | 2020-06-09 | Dentsu Inc. | Ad frame management system for switching content frame to ad frame, based on fluctuation in click through rate of advertisement or other information |
WO2015181861A1 (en) * | 2014-05-26 | 2015-12-03 | 株式会社電通 | Advertising space management system and space adjustment computer |
US9537811B2 (en) | 2014-10-02 | 2017-01-03 | Snap Inc. | Ephemeral gallery of ephemeral messages |
US9396354B1 (en) | 2014-05-28 | 2016-07-19 | Snapchat, Inc. | Apparatus and method for automated privacy protection in distributed images |
EP2953085A1 (en) | 2014-06-05 | 2015-12-09 | Mobli Technologies 2010 Ltd. | Web document enhancement |
US9113301B1 (en) | 2014-06-13 | 2015-08-18 | Snapchat, Inc. | Geo-location based event gallery |
US9225897B1 (en) | 2014-07-07 | 2015-12-29 | Snapchat, Inc. | Apparatus and method for supplying content aware photo filters |
US9563905B2 (en) * | 2014-07-16 | 2017-02-07 | Turn Inc. | Advertisement snapshot recorder |
US11386454B1 (en) | 2014-08-29 | 2022-07-12 | Cpl Assets, Llc | Systems, methods, and devices for optimizing advertisement placement |
US9898459B2 (en) | 2014-09-16 | 2018-02-20 | Voicebox Technologies Corporation | Integration of domain information into state transitions of a finite state transducer for natural language processing |
US20160078482A1 (en) * | 2014-09-16 | 2016-03-17 | Voicebox Technologies Corporation | System and method of marketing of user requests |
WO2016044290A1 (en) | 2014-09-16 | 2016-03-24 | Kennewick Michael R | Voice commerce |
US10423983B2 (en) | 2014-09-16 | 2019-09-24 | Snap Inc. | Determining targeting information based on a predictive targeting model |
US10824654B2 (en) | 2014-09-18 | 2020-11-03 | Snap Inc. | Geolocation-based pictographs |
US11216869B2 (en) | 2014-09-23 | 2022-01-04 | Snap Inc. | User interface to augment an image using geolocation |
US10284508B1 (en) | 2014-10-02 | 2019-05-07 | Snap Inc. | Ephemeral gallery of ephemeral messages with opt-in permanence |
CN107003999B (en) | 2014-10-15 | 2020-08-21 | 声钰科技 | System and method for subsequent response to a user's prior natural language input |
US10339527B1 (en) | 2014-10-31 | 2019-07-02 | Experian Information Solutions, Inc. | System and architecture for electronic fraud detection |
US9015285B1 (en) | 2014-11-12 | 2015-04-21 | Snapchat, Inc. | User interface for accessing media at a geographic location |
US10431214B2 (en) | 2014-11-26 | 2019-10-01 | Voicebox Technologies Corporation | System and method of determining a domain and/or an action related to a natural language input |
US10614799B2 (en) | 2014-11-26 | 2020-04-07 | Voicebox Technologies Corporation | System and method of providing intent predictions for an utterance prior to a system detection of an end of the utterance |
US9385983B1 (en) | 2014-12-19 | 2016-07-05 | Snapchat, Inc. | Gallery of messages from individuals with a shared interest |
US10311916B2 (en) | 2014-12-19 | 2019-06-04 | Snap Inc. | Gallery of videos set to an audio time line |
US10242019B1 (en) | 2014-12-19 | 2019-03-26 | Experian Information Solutions, Inc. | User behavior segmentation using latent topic detection |
US9754355B2 (en) | 2015-01-09 | 2017-09-05 | Snap Inc. | Object recognition based photo filters |
US11388226B1 (en) | 2015-01-13 | 2022-07-12 | Snap Inc. | Guided personal identity based actions |
US10528986B2 (en) | 2015-01-15 | 2020-01-07 | Xandr Inc. | Modifying bid price for online advertising auction based on user impression frequency |
US10133705B1 (en) | 2015-01-19 | 2018-11-20 | Snap Inc. | Multichannel system |
US9521515B2 (en) | 2015-01-26 | 2016-12-13 | Mobli Technologies 2010 Ltd. | Content request by location |
US10672027B1 (en) | 2015-03-10 | 2020-06-02 | Cpl Assets, Llc | Systems, methods, and devices for determining predicted enrollment rate and imputed revenue for inquiries associated with online advertisements |
US10223397B1 (en) | 2015-03-13 | 2019-03-05 | Snap Inc. | Social graph based co-location of network users |
KR102035405B1 (en) | 2015-03-18 | 2019-10-22 | 스냅 인코포레이티드 | Geo-Fence Authorized Provisioning |
US9692967B1 (en) | 2015-03-23 | 2017-06-27 | Snap Inc. | Systems and methods for reducing boot time and power consumption in camera systems |
US9881094B2 (en) | 2015-05-05 | 2018-01-30 | Snap Inc. | Systems and methods for automated local story generation and curation |
US10135949B1 (en) | 2015-05-05 | 2018-11-20 | Snap Inc. | Systems and methods for story and sub-story navigation |
US11151468B1 (en) | 2015-07-02 | 2021-10-19 | Experian Information Solutions, Inc. | Behavior analysis using distributed representations of event data |
US10993069B2 (en) | 2015-07-16 | 2021-04-27 | Snap Inc. | Dynamically adaptive media content delivery |
US10817898B2 (en) | 2015-08-13 | 2020-10-27 | Placed, Llc | Determining exposures to content presented by physical objects |
US10296938B1 (en) * | 2015-09-28 | 2019-05-21 | Oath (Americas) Inc. | Systems and methods for online traffic filtration by electronic content providers |
US9652896B1 (en) | 2015-10-30 | 2017-05-16 | Snap Inc. | Image based tracking in augmented reality systems |
US11410230B1 (en) | 2015-11-17 | 2022-08-09 | Consumerinfo.Com, Inc. | Realtime access and control of secure regulated data |
US10757154B1 (en) | 2015-11-24 | 2020-08-25 | Experian Information Solutions, Inc. | Real-time event-based notification system |
US9984499B1 (en) | 2015-11-30 | 2018-05-29 | Snap Inc. | Image and point cloud based tracking and in augmented reality systems |
US10474321B2 (en) | 2015-11-30 | 2019-11-12 | Snap Inc. | Network resource location linking and visual content sharing |
US10354425B2 (en) | 2015-12-18 | 2019-07-16 | Snap Inc. | Method and system for providing context relevant media augmentation |
US11120479B2 (en) | 2016-01-25 | 2021-09-14 | Magnite, Inc. | Platform for programmatic advertising |
US11023514B2 (en) | 2016-02-26 | 2021-06-01 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections |
US10679389B2 (en) | 2016-02-26 | 2020-06-09 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections |
US10285001B2 (en) | 2016-02-26 | 2019-05-07 | Snap Inc. | Generation, curation, and presentation of media collections |
US10339365B2 (en) | 2016-03-31 | 2019-07-02 | Snap Inc. | Automated avatar generation |
US10638256B1 (en) | 2016-06-20 | 2020-04-28 | Pipbin, Inc. | System for distribution and display of mobile targeted augmented reality content |
US11044393B1 (en) | 2016-06-20 | 2021-06-22 | Pipbin, Inc. | System for curation and display of location-dependent augmented reality content in an augmented estate system |
US11785161B1 (en) | 2016-06-20 | 2023-10-10 | Pipbin, Inc. | System for user accessibility of tagged curated augmented reality content |
US10805696B1 (en) | 2016-06-20 | 2020-10-13 | Pipbin, Inc. | System for recording and targeting tagged content of user interest |
US11201981B1 (en) | 2016-06-20 | 2021-12-14 | Pipbin, Inc. | System for notification of user accessibility of curated location-dependent content in an augmented estate |
US11876941B1 (en) | 2016-06-20 | 2024-01-16 | Pipbin, Inc. | Clickable augmented reality content manager, system, and network |
US10334134B1 (en) | 2016-06-20 | 2019-06-25 | Maximillian John Suiter | Augmented real estate with location and chattel tagging system and apparatus for virtual diary, scrapbooking, game play, messaging, canvasing, advertising and social interaction |
US9681265B1 (en) | 2016-06-28 | 2017-06-13 | Snap Inc. | System to track engagement of media items |
US10430838B1 (en) | 2016-06-28 | 2019-10-01 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections with automated advertising |
US10733255B1 (en) | 2016-06-30 | 2020-08-04 | Snap Inc. | Systems and methods for content navigation with automated curation |
US10348662B2 (en) | 2016-07-19 | 2019-07-09 | Snap Inc. | Generating customized electronic messaging graphics |
WO2018023106A1 (en) | 2016-07-29 | 2018-02-01 | Erik SWART | System and method of disambiguating natural language processing requests |
KR102267482B1 (en) | 2016-08-30 | 2021-06-22 | 스냅 인코포레이티드 | Systems and Methods for Simultaneous Localization and Mapping |
US10432559B2 (en) | 2016-10-24 | 2019-10-01 | Snap Inc. | Generating and displaying customized avatars in electronic messages |
KR102219304B1 (en) | 2016-11-07 | 2021-02-23 | 스냅 인코포레이티드 | Selective identification and order of image modifiers |
US10203855B2 (en) | 2016-12-09 | 2019-02-12 | Snap Inc. | Customized user-controlled media overlays |
US11616745B2 (en) | 2017-01-09 | 2023-03-28 | Snap Inc. | Contextual generation and selection of customized media content |
US10454857B1 (en) | 2017-01-23 | 2019-10-22 | Snap Inc. | Customized digital avatar accessories |
CN110383319B (en) | 2017-01-31 | 2023-05-26 | 益百利信息解决方案公司 | Large scale heterogeneous data ingestion and user resolution |
US10915911B2 (en) | 2017-02-03 | 2021-02-09 | Snap Inc. | System to determine a price-schedule to distribute media content |
US11250075B1 (en) | 2017-02-17 | 2022-02-15 | Snap Inc. | Searching social media content |
US10319149B1 (en) | 2017-02-17 | 2019-06-11 | Snap Inc. | Augmented reality anamorphosis system |
US10074381B1 (en) | 2017-02-20 | 2018-09-11 | Snap Inc. | Augmented reality speech balloon system |
US10565795B2 (en) | 2017-03-06 | 2020-02-18 | Snap Inc. | Virtual vision system |
US10523625B1 (en) | 2017-03-09 | 2019-12-31 | Snap Inc. | Restricted group content collection |
US10581782B2 (en) | 2017-03-27 | 2020-03-03 | Snap Inc. | Generating a stitched data stream |
US10582277B2 (en) | 2017-03-27 | 2020-03-03 | Snap Inc. | Generating a stitched data stream |
US11170393B1 (en) | 2017-04-11 | 2021-11-09 | Snap Inc. | System to calculate an engagement score of location based media content |
US10387730B1 (en) | 2017-04-20 | 2019-08-20 | Snap Inc. | Augmented reality typography personalization system |
US11893647B2 (en) | 2017-04-27 | 2024-02-06 | Snap Inc. | Location-based virtual avatars |
US10212541B1 (en) | 2017-04-27 | 2019-02-19 | Snap Inc. | Selective location-based identity communication |
CN110800018A (en) | 2017-04-27 | 2020-02-14 | 斯纳普公司 | Friend location sharing mechanism for social media platform |
US10467147B1 (en) | 2017-04-28 | 2019-11-05 | Snap Inc. | Precaching unlockable data elements |
US10803120B1 (en) | 2017-05-31 | 2020-10-13 | Snap Inc. | Geolocation based playlists |
US11475254B1 (en) | 2017-09-08 | 2022-10-18 | Snap Inc. | Multimodal entity identification |
US10740974B1 (en) | 2017-09-15 | 2020-08-11 | Snap Inc. | Augmented reality system |
US10699028B1 (en) | 2017-09-28 | 2020-06-30 | Csidentity Corporation | Identity security architecture systems and methods |
US10499191B1 (en) | 2017-10-09 | 2019-12-03 | Snap Inc. | Context sensitive presentation of content |
US10573043B2 (en) | 2017-10-30 | 2020-02-25 | Snap Inc. | Mobile-based cartographic control of display content |
US10896472B1 (en) | 2017-11-14 | 2021-01-19 | Csidentity Corporation | Security and identity verification system and architecture |
US11265273B1 (en) | 2017-12-01 | 2022-03-01 | Snap, Inc. | Dynamic media overlay with smart widget |
US11017173B1 (en) | 2017-12-22 | 2021-05-25 | Snap Inc. | Named entity recognition visual context and caption data |
US10678818B2 (en) | 2018-01-03 | 2020-06-09 | Snap Inc. | Tag distribution visualization system |
US11507614B1 (en) | 2018-02-13 | 2022-11-22 | Snap Inc. | Icon based tagging |
US10979752B1 (en) | 2018-02-28 | 2021-04-13 | Snap Inc. | Generating media content items based on location information |
US10885136B1 (en) | 2018-02-28 | 2021-01-05 | Snap Inc. | Audience filtering system |
US10327096B1 (en) | 2018-03-06 | 2019-06-18 | Snap Inc. | Geo-fence selection system |
WO2019178361A1 (en) | 2018-03-14 | 2019-09-19 | Snap Inc. | Generating collectible media content items based on location information |
US11163941B1 (en) | 2018-03-30 | 2021-11-02 | Snap Inc. | Annotating a collection of media content items |
US10219111B1 (en) | 2018-04-18 | 2019-02-26 | Snap Inc. | Visitation tracking system |
US10896197B1 (en) | 2018-05-22 | 2021-01-19 | Snap Inc. | Event detection system |
WO2020014712A1 (en) | 2018-07-13 | 2020-01-16 | Pubwise, LLLP | Digital advertising platform with demand path optimization |
US10679393B2 (en) | 2018-07-24 | 2020-06-09 | Snap Inc. | Conditional modification of augmented reality object |
US10997760B2 (en) | 2018-08-31 | 2021-05-04 | Snap Inc. | Augmented reality anthropomorphization system |
US10880313B2 (en) | 2018-09-05 | 2020-12-29 | Consumerinfo.Com, Inc. | Database platform for realtime updating of user data from third party sources |
US10698583B2 (en) | 2018-09-28 | 2020-06-30 | Snap Inc. | Collaborative achievement interface |
US10778623B1 (en) | 2018-10-31 | 2020-09-15 | Snap Inc. | Messaging and gaming applications communication platform |
US10939236B1 (en) | 2018-11-30 | 2021-03-02 | Snap Inc. | Position service to determine relative position to map features |
US11199957B1 (en) | 2018-11-30 | 2021-12-14 | Snap Inc. | Generating customized avatars based on location information |
US11032670B1 (en) | 2019-01-14 | 2021-06-08 | Snap Inc. | Destination sharing in location sharing system |
US10939246B1 (en) | 2019-01-16 | 2021-03-02 | Snap Inc. | Location-based context information sharing in a messaging system |
US11294936B1 (en) | 2019-01-30 | 2022-04-05 | Snap Inc. | Adaptive spatial density based clustering |
US10936066B1 (en) | 2019-02-13 | 2021-03-02 | Snap Inc. | Sleep detection in a location sharing system |
US10838599B2 (en) | 2019-02-25 | 2020-11-17 | Snap Inc. | Custom media overlay system |
US10964082B2 (en) | 2019-02-26 | 2021-03-30 | Snap Inc. | Avatar based on weather |
US10852918B1 (en) | 2019-03-08 | 2020-12-01 | Snap Inc. | Contextual information in chat |
US11868414B1 (en) | 2019-03-14 | 2024-01-09 | Snap Inc. | Graph-based prediction for contact suggestion in a location sharing system |
US11852554B1 (en) | 2019-03-21 | 2023-12-26 | Snap Inc. | Barometer calibration in a location sharing system |
US11249614B2 (en) | 2019-03-28 | 2022-02-15 | Snap Inc. | Generating personalized map interface with enhanced icons |
US10810782B1 (en) | 2019-04-01 | 2020-10-20 | Snap Inc. | Semantic texture mapping system |
US10582453B1 (en) | 2019-05-30 | 2020-03-03 | Snap Inc. | Wearable device location systems architecture |
US10560898B1 (en) | 2019-05-30 | 2020-02-11 | Snap Inc. | Wearable device location systems |
US10893385B1 (en) | 2019-06-07 | 2021-01-12 | Snap Inc. | Detection of a physical collision between two client devices in a location sharing system |
US11307747B2 (en) | 2019-07-11 | 2022-04-19 | Snap Inc. | Edge gesture interface with smart interactions |
US11821742B2 (en) | 2019-09-26 | 2023-11-21 | Snap Inc. | Travel based notifications |
US11218838B2 (en) | 2019-10-31 | 2022-01-04 | Snap Inc. | Focused map-based context information surfacing |
US11429618B2 (en) | 2019-12-30 | 2022-08-30 | Snap Inc. | Surfacing augmented reality objects |
US11128715B1 (en) | 2019-12-30 | 2021-09-21 | Snap Inc. | Physical friend proximity in chat |
US11169658B2 (en) | 2019-12-31 | 2021-11-09 | Snap Inc. | Combined map icon with action indicator |
US11343323B2 (en) | 2019-12-31 | 2022-05-24 | Snap Inc. | Augmented reality objects registry |
US11228551B1 (en) | 2020-02-12 | 2022-01-18 | Snap Inc. | Multiple gateway message exchange |
US11516167B2 (en) | 2020-03-05 | 2022-11-29 | Snap Inc. | Storing data based on device location |
US11619501B2 (en) | 2020-03-11 | 2023-04-04 | Snap Inc. | Avatar based on trip |
US11430091B2 (en) | 2020-03-27 | 2022-08-30 | Snap Inc. | Location mapping for large scale augmented-reality |
US10956743B1 (en) | 2020-03-27 | 2021-03-23 | Snap Inc. | Shared augmented reality system |
US11290851B2 (en) | 2020-06-15 | 2022-03-29 | Snap Inc. | Location sharing using offline and online objects |
US11503432B2 (en) | 2020-06-15 | 2022-11-15 | Snap Inc. | Scalable real-time location sharing framework |
US11483267B2 (en) | 2020-06-15 | 2022-10-25 | Snap Inc. | Location sharing using different rate-limited links |
US11314776B2 (en) | 2020-06-15 | 2022-04-26 | Snap Inc. | Location sharing using friend list versions |
US11308327B2 (en) | 2020-06-29 | 2022-04-19 | Snap Inc. | Providing travel-based augmented reality content with a captured image |
US11349797B2 (en) | 2020-08-31 | 2022-05-31 | Snap Inc. | Co-location connection service |
US11606756B2 (en) | 2021-03-29 | 2023-03-14 | Snap Inc. | Scheduling requests for location data |
US11645324B2 (en) | 2021-03-31 | 2023-05-09 | Snap Inc. | Location-based timeline media content system |
US11829834B2 (en) | 2021-10-29 | 2023-11-28 | Snap Inc. | Extended QR code |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4703423A (en) * | 1984-07-10 | 1987-10-27 | Recipe Terminal Corporation | Apparatus and method for generation of brand name specific advertising media |
JPH0743748B2 (en) * | 1986-02-17 | 1995-05-15 | 株式会社オークネット | Information transmission processing method of auction information transmission processing system |
US5105184B1 (en) | 1989-11-09 | 1997-06-17 | Noorali Pirani | Methods for displaying and integrating commercial advertisements with computer software |
US5401946A (en) * | 1991-07-22 | 1995-03-28 | Weinblatt; Lee S. | Technique for correlating purchasing behavior of a consumer to advertisements |
US5305195A (en) | 1992-03-25 | 1994-04-19 | Gerald Singer | Interactive advertising system for on-line terminals |
WO1995012176A2 (en) | 1993-10-29 | 1995-05-04 | Keithley Ronald D | Interactive multimedia communications system which accesses industry-specific information |
US5724521A (en) * | 1994-11-03 | 1998-03-03 | Intel Corporation | Method and apparatus for providing electronic advertisements to end users in a consumer best-fit pricing manner |
US5745882A (en) * | 1995-01-09 | 1998-04-28 | Us West Marketing Resources Group, Inc. | Electronic classified advertising interface method and instructions with continuous search notification |
US5684963A (en) * | 1995-03-20 | 1997-11-04 | Discreet Logic, Inc. | System and method for distributing video from a plurality of video providers |
US5710884A (en) * | 1995-03-29 | 1998-01-20 | Intel Corporation | System for automatically updating personal profile server with updates to additional user information gathered from monitoring user's electronic consuming habits generated on computer during use |
US5740549A (en) * | 1995-06-12 | 1998-04-14 | Pointcast, Inc. | Information and advertising distribution system and method |
AU1566597A (en) * | 1995-12-27 | 1997-08-11 | Gary B. Robinson | Automated collaborative filtering in world wide web advertising |
US5721827A (en) | 1996-10-02 | 1998-02-24 | James Logan | System for electrically distributing personalized information |
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