US20120072278A1 - Methods and apparatus for ordering advertisements based on performance information and price information - Google Patents
Methods and apparatus for ordering advertisements based on performance information and price information Download PDFInfo
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- US20120072278A1 US20120072278A1 US13/308,158 US201113308158A US2012072278A1 US 20120072278 A1 US20120072278 A1 US 20120072278A1 US 201113308158 A US201113308158 A US 201113308158A US 2012072278 A1 US2012072278 A1 US 2012072278A1
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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
- G06Q30/0242—Determining effectiveness of advertisements
- G06Q30/0244—Optimization
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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
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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
- G06Q30/0242—Determining effectiveness of advertisements
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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
- G06Q30/0254—Targeted advertisements based on statistics
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- G—PHYSICS
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- 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
- G06Q30/0255—Targeted advertisements based on user history
- G06Q30/0256—User search
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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
- G06Q30/0263—Targeted advertisements based upon Internet or website rating
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- 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
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Definitions
- the present invention concerns advertising.
- the present invention concerns how ads are presented to their audience.
- Advertisers have used these types of media to reach a large audience with their advertisements (“ads”).
- advertisers have used demographic studies. For example, advertisers may use broadcast events such as football games to advertise beer and action movies to a younger male audience.
- advertisers may use magazines that reach a relatively affluent readership to advertise luxury items such as expensive watches and luxury automobiles.
- advertisers recognize that much of their ad budget is simply wasted. Unfortunately, it is very difficult to identify and eliminate such waste.
- Advertisers have developed several strategies in an attempt to maximize the value of such advertising.
- advertisers use popular presences or means for providing interactive media or services (referred to as “Web sites” in the specification without loss of generality) as conduits to reach a large audience.
- Web sites popular presences or means for providing interactive media or services
- an advertiser may place ads on the home page of the New York Times Web site, or the USA Today Web site, for example.
- an advertiser may attempt to target its ads to more narrow niche audiences, thereby increasing the likelihood of a positive response by the audience. For example, an agency promoting tourism in the Costa Rican rainforest might place ads on the ecotourism-travel subdirectory of the Yahoo Web site.
- Web site-based ads are typically presented to their advertising audience in the form “banner ads”—i.e., a rectangular box that includes graphic components.
- banner ads i.e., a rectangular box that includes graphic components.
- viewer selects one of these banner ads by clicking on it
- embedded hypertext links typically direct the viewer to the advertiser's Web site. This process, wherein the viewer selects an ad, is commonly referred to as a “click-through”.
- the ratio of the number of click-throughs to the number of impressions of the ad i.e., the number of times an ad is displayed
- click-through rate The ratio of the number of click-throughs to the number of impressions of the ad.
- Web site hosts the hosts of Web sites on which the ads are presented (referred to as “Web site hosts” or “ad consumers”) have the challenge of maximizing ad revenue without impairing their users' experience.
- Some Web site hosts have chosen to place advertising revenues over the interests of users.
- One such Web site is “GoTo.com”, which hosts a so-called “search engine” service returning “search results” in response to user queries.
- the GoTo.com web site permits advertisers to pay to position their Web site (or a target Web site) higher up on the list of search results.
- cost-per-click If such schemes are implemented such that the advertiser only pays if a user clicks on the ad (i.e., cost-per-click), the advertiser lacks incentive to target the ads effectively, since a poorly targeted ad will not be clicked and therefore will not require payment.
- high cost-per-click ads show up near or at the top, but do not necessarily translate into real revenue for the ad publisher because viewers don't click on them.
- ads that viewer would click on are further down the list, or not on the list at all, and so relevancy of ads is compromised.
- the present invention provides a more effective advertising system which orders ads an a manner that maximizes both their relevance and their economic values. Such ordering may be done based on both accepted ad price information and ad performance information.
- the price information is may be based on (a) an amount an advertiser has agreed to pay each time the ad is rendered, (b) an amount an advertiser has agreed to pay each time the ad is rendered and selected, (c) an average over time of the amount the advertiser has agreed to pay each time the ad is rendered and selected, (d) an amount the advertiser has agreed to pay each time the ad is rendered and a conversion, associated with the ad, occurs, (e) cost per selection information, (f) an average of cost per selection information over a period of time, etc.
- the performance information is a measure of user interest in the associated advertisement and may be, for example, (a) a click-through rate of the associated advertisement, (b) user ratings of the advertisement, (c) focus group ratings of the advertisement, (d) a measure of user interest for the advertisement weighted for a size of the advertisement relative to that of other advertisements, (e) a measure of user interest for the advertisement weighted for past positions of the advertisement relative to those past positions of other advertisements, (f) expected user interest in the advertisement, (g) a time needed to render the advertisement relative to that needed to render other advertisements, (h) a measure of user interest for the advertisement weighted for a media type of the advertisement, and (i) a conversion rate associated with the advertisement
- Price information and/or performance information may be weighted or otherwise adjusted. Window functions may be used to determine a relevant time frame or number of data to be considered.
- FIG. 1 is a high-level diagram showing parties or entities that can interact with an advertising system.
- FIG. 2 is a bubble chart of an advertising environment in which the present invention may operate.
- FIG. 3 is a flow diagram of a first exemplary method that may be used to effect a presentation ordering operation in an environment such as that of FIG. 2 .
- FIG. 4 is a flow diagram of a second exemplary method that may be used to effect a presentation ordering operation in an environment such as that of FIG. 2 .
- FIG. 5 is a high-level block diagram of apparatus that may be used to effect at least some of the various operations that may be performed in accordance with the present invention.
- FIG. 6 is a block diagram of a Web page that may be generated by a page assembly operation of an ad consumer, for rendering on a viewer's screen.
- the present invention involves novel methods, apparatus, message formats and data structures for providing effective advertisements in an interactive environment.
- the following description is presented to enable one skilled in the art to make and use the invention, and is provided in the context of particular applications and their requirements.
- Various modifications to the disclosed embodiments will be apparent to those skilled in the art, and the general principles set forth below may be applied to other embodiments and applications.
- the present invention is not intended to be limited to the embodiments shown and the inventors regard their invention as the following disclosed methods, apparatus, message formats and data structures and any other patentable subject matter.
- FIG. 1 is a high level diagram of an advertising environment.
- the environment may include an ad entry, maintenance and delivery system 120 .
- Advertisers 110 may directly, or indirectly, enter, maintain, and track ad information in the system 120 .
- the ads may be in the form of graphical ads such as so-called banner ads, text only ads, audio ads, video ads, etc.
- Ad consumers 130 may submit requests for ads to, accept ads responsive to their request from, and provide historical or usage information to, the system 120 .
- an ad consumer 130 is a general content server which receives requests for content (e.g., articles, discussion threads, music, video, graphics, search results, webpage listings, etc.), and retrieves the requested content in response or otherwise services the request.
- the content server may submit a request for ads to the system 120 .
- Such an ad request may include a number of ads desired.
- the ad request may also include the content request information.
- This information may include the content itself (e.g., page), a category corresponding to the content or the content request (e.g., arts, business, computers, arts-movies, arts-music, etc.), part or all of the content request, content age, content type (e.g., text, graphics, video, audio, mixed media, etc.), geolocation information, etc.
- the content server may combine the requested content with one or more of the advertisements provided by the system 120 . This combined information including the content and advertisement(s) is then forwarded towards the viewer that requested the content, for presentation to the viewer. Finally, the content server may transmit information about the ads and how the ads are to be rendered (e.g., position, click-through or not, impression time, impression date, size, etc.) back to the system 120 .
- information about the ads and how the ads are to be rendered e.g., position, click-through or not, impression time, impression date, size, etc.
- search engine may receive queries for search results. In response, the search engine may retrieve relevant search results (e.g., from an index of Web pages).
- relevant search results e.g., from an index of Web pages.
- An exemplary search engine is described in the article S. Brin and L. Page, “The Anatomy of a Large-Scale Hypertextual Search Engine,” Seventh International World Wide Web Conference , Brisbane, Australia (incorporated herein by reference).
- search results may include, for example, lists of Web page titles, snippets of text extracted from those Web pages, and hypertext links to those Web pages, and may be grouped into a predetermined number of (e.g., ten) search results.
- the search engine may submit a request for ads to the system 120 .
- the request may include a number of ads desired. This number may depend on the search results, the amount of screen or page space occupied by the search results, the size and shape of the ads, etc. In one embodiment, the number of desired ads will be from one to ten, and preferably from three to five.
- the request for ads may also include the query (as entered or parsed), information based on the query (such as geolocation information), and/or information associated with, or based on, the search results.
- Such information may include, for example, identifiers related to the search results (e.g., document identifiers or “docIDs”), scores related to the search results (e.g., information retrieval (“IR”) scores such as dot products of feature vectors corresponding to a query and a document, Page Rank scores, and/or combinations of IR scores and Page Rank scores), snippets of text extracted from identified documents (e.g., WebPages), full text of identified documents, feature vectors of identified documents, etc.
- identifiers related to the search results e.g., document identifiers or “docIDs”
- scores related to the search results e.g., information retrieval (“IR”) scores such as dot products of feature vectors corresponding to a query and a document, Page Rank scores, and/or combinations of IR scores and Page Rank scores
- snippets of text extracted from identified documents e.g., WebPages
- full text of identified documents e.g., feature vectors of identified
- the search engine may combine the search results with one or more of the advertisements provided by the system 120 . This combined information including the search results and advertisement(s) is then forwarded towards the user that requested the content, for presentation to the user. Finally, the search engine may transmit information about the ad and how the ad was to be rendered (e.g., position, click-through or not, impression time, impression date, size, etc.) back to the system 120 .
- FIG. 2 illustrates an exemplary ad system 120 ′, consistent with the present invention.
- the exemplary ad system 120 ′ may include an inventory system 210 and may store ad information 205 and usage or historical (e.g., statistical) information 245 .
- the exemplary system 120 ′ may support ad information entry and management operation(s) 215 , campaign (e.g., targeting) assistance operation(s) 220 , accounting and billing operation(s) 225 , ad serving operation(s) 230 , relevancy determination operation(s) 235 , optimization operations 240 , presentation ordering operations 250 , and fraud detection operation(s) 255 .
- Advertisers 110 may interface with the system 120 ′ via the ad information entry and management operation(s) 215 as indicated by interface 216 .
- Ad consumers 130 may interface with the system 120 ′ via the ad serving operation(s) 230 as indicated by interface 231 .
- the present invention primarily concerns the presentation ordering operation(s) 250 , and is described more fully in section 4.2. For contextual purposes, however, a brief description of the other parts of ad system 120 ′ appears below.
- An advertising program includes information concerning accounts, campaigns, creatives, targeting, etc.
- the term “account” relates to information for a given advertiser.
- a “campaign” or “ad campaign” refers to a series of advertisements designed to achieve a larger objective, and may include a start date, an end date, keywords, prices, price limits, and one or more advertisements (i.e., “creatives”) used to market a given good, service, class of goods, or class of services.
- Honda may have one advertising campaign for its automotive line, and a separate advertising campaign for its motorcycle line.
- the campaign for its automotive line may be targeted using a variety of keywords (e.g., “accord”, “sedan”, etc.), each of which may be associated with one or more creatives.
- the ad information 205 can be entered and managed via the ad information entry and management operation(s) 215 .
- Campaign (e.g., targeting) assistance operation(s) 220 can be employed to help advertisers 110 generate effective ad campaigns.
- the campaign assistance operation(s) 220 can use information provided by the inventory system 210 , which, in the context of advertising for use with a search engine, may track all possible ad impressions, ad impressions already reserved, and ad impressions available for given keywords.
- the ad serving operation(s) 230 may service requests for ads from ad consumers 130 .
- the ad serving operation(s) 230 may use relevancy determination operation(s) 235 to determine candidate ads for a given request.
- the ad serving operation(s) 230 may then use optimization operation(s) 240 to select a final set of one or more of the candidate ads.
- the ad serving operation(s) 250 may use presentation ordering operation(s) 250 to order the presentation of the ads to be returned.
- the fraud detection operation(s) 255 can be used to reduce fraudulent use of the advertising system (e.g., by advertisers), such as through the use of stolen credit cards.
- FIG. 5 is high-level block diagram of a machine 500 that may effect one or more of the operations discussed above.
- the machine 500 basically includes a processor(s) 510 , an input/output interface unit(s) 530 , a storage device(s) 520 , and a system bus or network 540 for facilitating the communication of information among the coupled elements.
- An input device(s) 532 and an output device(s) 534 may be coupled with the input/output interface(s) 530 .
- the processor(s) 510 may execute machine-executable instructions (e.g., C or C++ running on the Solaris operating system available from Sun Microsystems Inc. of Palo Alto, Calif. or the Linux operating system widely available from a number of vendors such as Red Hat, Inc. of Durham, N.C.) to effect one or more aspects of the present invention. At least a portion of the machine executable instructions may be stored (temporarily or more permanently) on the storage device(s) 520 and/or may be received from an external source via an input interface unit 530 .
- machine-executable instructions e.g., C or C++ running on the Solaris operating system available from Sun Microsystems Inc. of Palo Alto, Calif. or the Linux operating system widely available from a number of vendors such as Red Hat, Inc. of Durham, N.C.
- the machine 500 may be one or more conventional personal computers.
- the processing unit(s) 510 may be one or more microprocessors.
- the bus 540 may include a system bus.
- the storage devices 520 may include system memory, such as read only memory (ROM) and/or random access memory (RAM).
- the storage device(s) 520 may also include a hard disk drive for reading from and writing to a hard disk, a magnetic disk drive for reading from or writing to a (e.g., removable) magnetic disk, and an optical disk drive for reading from or writing to a removable (magneto-) optical disk such as a compact disk or other (magneto-) optical media.
- a user may enter commands and information into the personal computer through input devices 532 , such as a keyboard and pointing device (e.g., a mouse) for example.
- Other input devices such as a microphone, a joystick, a game pad, a satellite dish, a scanner, or the like, may also (or alternatively) be included.
- These and other input devices are often connected to the processing unit(s) 510 through an appropriate interface 530 coupled to the system bus 540 .
- no input devices other than those needed to accept queries, and possibly those for system administration and maintenance, are needed.
- the output device(s) 534 may include a monitor or other type of display device, which may also be connected to the system bus 540 via an appropriate interface.
- the personal computer may include other (peripheral) output devices (not shown), such as speakers and printers for example. Again, in the context of presentation ordering operation(s), no output devices, other than those needed to communicate query results, and possibly those for system administration and maintenance, are needed.
- FIG. 6 is an abstract illustration of a display page 610 .
- the outline 620 depicted with dashed lines corresponds to a portion of the display page 610 that may be viewed on a typical personal computer display screen at a typical resolution.
- the exemplary display page 610 may include header information 612 (e.g., the name of search engine host), trailer information 616 (e.g., copyright, navigational hypertext links, etc.), a plurality of search results 614 and a plurality of ads 618 a , 618 b , and 618 c .
- the search results 614 are maintained as distinct from the ads 618 , so as not to confuse the user between paid advertisements and presumably neutral search results.
- FIG. 6 shows only three ads 618 , embodiments consistent with the present invention may have more or less ads. For example, ten search results combined with ten ads has been found to be effective.
- FIG. 3 is a flow diagram of an ordering method consistent with the present invention.
- a list of candidate ads is obtained.
- this list contains four ads, called A, B, C, and D.
- one or more performance parameters (or more generally, “performance information”) for each candidate ad is identified.
- Examples of a performance parameter include a click-through count, a click-through rate (e.g., the number of times an ad is selected divided by the number of times the ad is rendered), a conversion count (e.g., the number of times a transaction, associated with an ad, is consummated, either immediately or at some later time), a conversion rate, user ratings of the ad, focus group ratings of the ad, a measure of user interest for the ad weighted for a size of the ad relative to that of other ads, a measure of user interest for the ad weighted for past positions of the ad relative to those past positions of other ads, expected user interest in the ad, a time needed to render the ad relative to that needed to render other ads, and a measure of user interest for the ad weighted for a media type of the ad, etc.
- the performance parameter may be a combination of time-weighted performance parameter data. Window functions may be applied to performance parameter
- a performance parameter of an ad may be keyword-dependent, or associated with a keyword or keywords.
- a keyword-dependent performance parameter is an ad click-through rate for a given keyword(s).
- One embodiment of the present invention can apply a threshold to such a keyword-dependent performance parameter to determine whether or not to render a candidate ad when a query includes the keyword(s) that caused the ad to be deemed relevant. For example, if the click-through rate of a particular ad is below a predetermined value (e.g., 0.5%) for a particular keyword(s), that ad could either (a) not be rendered at all for the particular keyword(s), or (b) rendered less frequently that it would be otherwise for the particular keyword(s).
- a predetermined value e.g., 0.5%
- the performance parameter is a windowed, time-weighted function of (e.g., average) click-through rate for the ad.
- the time period for a window (both how long the window is and when in time the window begins) may be adjusted. For example, a long window will better reflect historical trends but may be less sensitive to recent changes. Similarly, the starting point (in time) for the window will affect its sensitivity to recent or historical information.
- the data within the window may also be tuned. For example, rather than treating each data point within the window equally, it may be desirable to give some data points (e.g., more recent ones) greater weight than other data points.
- the window and weighting parameters By adjusting the window and weighting parameters, therefore, one can customize the performance parameter (in this case click-through rate) to achieve desired results.
- ads A, B, C, and D have the following windowed, time-weighted average click-through rates, respectively: 5.1%, 0.3%, 7.2%, and 2.9%.
- a score is determined for each candidate ad based on the one or more performance parameter(s).
- the ads may be ordered based on their scores, and the method 250 ′ may then be left via RETURN node 350 . In the present example, the order would be C, A, D, B.
- the method described by FIG. 3 is particularly well suited for an environment wherein the advertiser pays each time the ad is shown (i.e., per impression), regardless of whether a user actually clicks on the ad.
- the cost to the advertiser varies based on the order of the ad. For example, an ad that is ranked first may cost $15.00 per thousand impressions (i.e., $15 CPM) whereas an ad that is ranked second may cost $12.00 per thousand impressions, and an ad that is ranked third may cost $10.00 per thousand impressions. This reflects an assumption that the higher ranked ads will be placed more prominently (e.g., higher on a search results page) and will thereby be more effective in attracting business from the viewer.
- FIG. 4 is a flow diagram of another ordering method consistent with the present invention.
- a list of candidate ads is obtained.
- this list contains the four ads described above in reference to FIG. 3 : A, B, C, and D.
- one or more performance parameters (or more generally, “performance information”) for each candidate ad is identified.
- the performance parameter is a windowed, time-weighted average click-through rate for the ad, as described above in reference to FIG. 3 .
- ads A, B, C, and D have the following windowed, time-weighted average click-through rates, respectively: 5.1%, 0.3%, 7.2%, and 2.9%.
- a price parameter (or more generally, “price information”) is identified for each candidate ad.
- a price parameter include cost per impression, cost per selection (e.g., click-through), cost per conversion, etc.
- this price is a cost-per-click, which may be defined in advance as a negotiated or auction-based fee, or may be determined dynamically as a function of the ad's performance. Assume that at a given point in time, ads A, B, C, and D have the following costs-per-click, respectively: $0.30 per thousand clicks, $0.20 per thousand clicks, $0.10 per thousand clicks, and $0.20 per thousand clicks.
- a score is determined for each candidate ad based on the one or more performance parameters and the price.
- this score is a product of the windowed, time-weighted average click-through rate and the cost-per-click. Accordingly, ad A has a score of 1.53 (5.1% multiplied by 0.30), ad B has a score of 0.06 (0.3% multiplied by 0.20), ad C has a score of 1.44 (7.2% multiplied by 0.20), and ad D has a score of 0.58 (2.9% multiplied by 0.20).
- the ads may be ordered based on their scores, and the method 250 ′ may then be left via RETURN node 460 . In the present example, the order would be A, C, D, B.
- a multiplier e.g., 1.3
- Statistical weighting e.g., based on a deviation such as a standard deviation
- time and/or statistical weighting may be used, for example, to desensitize the presentation ordering operation(s) to spikes or other anomalies.
- the ad consumer 130 is a search engine that requested three ads.
- the three highest scoring ads (A, C, and D) would be returned, with ad C being shown in position 618 a , ad A in position 618 b , and ad D in position 618 c .
- the three highest scoring ads (A, C, and D) would be returned, with ad A being shown in position 618 a , ad C in position 618 b , and ad D in position 618 c .
- a relative size of other prominence feature of the ad in addition to, or instead of, the placement order of the ads, may be based on the scores associated with the ads.
- One factor to consider with methods consistent with the present invention is that it may be desirable not to show only the highest ranking ads. For example, it may be that new or low ranking ads have not been shown enough to have a statistically meaningful performance parameter. In this case (or even in general), one might artificially or temporarily increase the scores for certain ads (e.g., new or low ranking ads) at random, periodic, or other intervals. Alternatively, it may be desirable never to return ads with scores below a defined threshold, so long as they have been shown a statistically sufficient number of times to discern their performance.
- a potential benefit of the organization of exemplary display page 610 is that the search results 614 are maintained as distinct from the ads 618 .
- the search results are ordered based on criteria that determines how relevant those information sources are to the search query entered by the user.
- the ads are ordered based on the methods described above. Yet by maintaining clear linear separation between the search results 614 and the ads 618 , the user is not misled into confusing search results with paid advertisements. This allows the display of multiple ads on the same page as multiple search results while maintaining separation between the two such that a viewer can clearly distinguish search results from paid ads.
- display page 610 shows the advertisements positioned to the right of (adjacent) search results, other ways to separate the content from the advertisements are also possible. For example, the advertisements could be positioned to the left of (adjacent) search results.
- the advertising techniques described above account for the interests of users (e.g., users of a search engine) by providing them with ads that are of interest and that are not easily confused with noncommercial requested content (such as search results), if any. Further, the interests of the advertisers are well served since users will presumably be more likely to click-through on ads that are of interest to them.
- presentation ordering operation(s) 250 can be distributed among various ad consumers 130 , rather than operating centrally at the ad entry, maintenance and delivery system(s) 120 .
Abstract
An ordering of advertisements requested by an ad consumer is based on scores generated for the ads. In each case, a score may be a function of at least one performance parameter associated with the ad and/or a price parameter associated with the ad. The ad consumer may generate presentation information (e.g., a Web page) including advertisements and non-advertisement content (e.g., search results) by (i) accepting the non-advertisement content and advertisements, each of the advertisements including a score, and (ii) combining the non-advertisement content and the advertisements such that relative placements of the advertisements are based on their associated scores.
Description
- This application is a continuation application of U.S. patent application Ser. No. 12/830,908 (referred to as “the '908 application” and incorporated herein by reference), filed on Jul. 6, 2010, titled “METHODS AND APPARATUS FOR ORDERING ADVERTISEMENTS BASED ON PERFORMANCE INFORMATION AND PRICE INFORMATION,” listing Salar Kamangar, Ross Koningstein and Eric Veach as the inventors, the '908 application being a continuation of U.S. patent application Ser. No. 10/112,654 (referred to as “the '654 application” and incorporated herein by reference), filed on Mar. 29, 2002, titled “METHODS AND APPARATUS FOR ORDERING ADVERTISEMENTS BASED ON PERFORMANCE INFORMATION AND PRICE INFORMATION,” listing Salar Kamangar, Ross Koningstein and Eric Veach as the inventors, and issuing as U.S. Pat. No. 7,778,872 on Aug. 17, 2010, the '654 application claiming benefit, under 35 U.S.C. §119(e)(1), to the filing date of provisional patent application Ser. No. 60/317,847 (referred to as “the '847 provisional” and incorporated herein by reference), titled “METHODS AND APPARATUS FOR ORDERING ADVERTISEMENTS,” filed on Sep. 6, 2001 and listing Jane Manning, Salar Kamangar, and Eric Veach as the inventors, for any inventions disclosed in the manner provided by 35 U.S.C. §112, 111.
- §1.1 Field of the Invention
- The present invention concerns advertising. In particular, the present invention concerns how ads are presented to their audience.
- §1.2 Related Art
- Advertising using traditional media, such as television, radio, newspapers and magazines, is well known. Advertisers have used these types of media to reach a large audience with their advertisements (“ads”). To reach a more responsive audience, advertisers have used demographic studies. For example, advertisers may use broadcast events such as football games to advertise beer and action movies to a younger male audience. Similarly, advertisers may use magazines that reach a relatively affluent readership to advertise luxury items such as expensive watches and luxury automobiles. However, even with demographic studies and entirely reasonable assumptions about the typical audience of various media outlets, advertisers recognize that much of their ad budget is simply wasted. Unfortunately, it is very difficult to identify and eliminate such waste.
- Recently, advertising over more interactive media has become popular. For example, as the number of people using the Internet has exploded, advertisers have come to appreciate media and services offered over the Internet as a potentially powerful way to advertise.
- Advertisers have developed several strategies in an attempt to maximize the value of such advertising. In one strategy, advertisers use popular presences or means for providing interactive media or services (referred to as “Web sites” in the specification without loss of generality) as conduits to reach a large audience. Using this first approach, an advertiser may place ads on the home page of the New York Times Web site, or the USA Today Web site, for example. In another strategy, an advertiser may attempt to target its ads to more narrow niche audiences, thereby increasing the likelihood of a positive response by the audience. For example, an agency promoting tourism in the Costa Rican rainforest might place ads on the ecotourism-travel subdirectory of the Yahoo Web site.
- Regardless of the strategy, Web site-based ads (also referred to as “Web ads”) are typically presented to their advertising audience in the form “banner ads”—i.e., a rectangular box that includes graphic components. When a member of the advertising audience (referred to as a “viewer” in the Specification without loss of generality) selects one of these banner ads by clicking on it, embedded hypertext links typically direct the viewer to the advertiser's Web site. This process, wherein the viewer selects an ad, is commonly referred to as a “click-through”. The ratio of the number of click-throughs to the number of impressions of the ad (i.e., the number of times an ad is displayed) is commonly referred to as the “click-through rate” of the ad.
- Despite the initial promise of Web site-based advertisement, there remain several problems with existing approaches. Although advertisers are able to reach a large audience, they are frequently dissatisfied with the return on their advertisement investment. Some have attempted to improve ad performance by tracking the online habits of users, but this approach has led to privacy concerns.
- Similarly, the hosts of Web sites on which the ads are presented (referred to as “Web site hosts” or “ad consumers”) have the challenge of maximizing ad revenue without impairing their users' experience. Some Web site hosts have chosen to place advertising revenues over the interests of users. One such Web site is “GoTo.com”, which hosts a so-called “search engine” service returning “search results” in response to user queries. The GoTo.com web site permits advertisers to pay to position their Web site (or a target Web site) higher up on the list of search results. If such schemes are implemented such that the advertiser only pays if a user clicks on the ad (i.e., cost-per-click), the advertiser lacks incentive to target the ads effectively, since a poorly targeted ad will not be clicked and therefore will not require payment. As a result, high cost-per-click ads show up near or at the top, but do not necessarily translate into real revenue for the ad publisher because viewers don't click on them. Furthermore, ads that viewer would click on are further down the list, or not on the list at all, and so relevancy of ads is compromised.
- There remains, therefore, a need for more effective advertising using interactive media and services, including a need to order ads in a manner that maximizes both their relevance and their economic value.
- The present invention provides a more effective advertising system which orders ads an a manner that maximizes both their relevance and their economic values. Such ordering may be done based on both accepted ad price information and ad performance information.
- The price information is may be based on (a) an amount an advertiser has agreed to pay each time the ad is rendered, (b) an amount an advertiser has agreed to pay each time the ad is rendered and selected, (c) an average over time of the amount the advertiser has agreed to pay each time the ad is rendered and selected, (d) an amount the advertiser has agreed to pay each time the ad is rendered and a conversion, associated with the ad, occurs, (e) cost per selection information, (f) an average of cost per selection information over a period of time, etc.
- The performance information is a measure of user interest in the associated advertisement and may be, for example, (a) a click-through rate of the associated advertisement, (b) user ratings of the advertisement, (c) focus group ratings of the advertisement, (d) a measure of user interest for the advertisement weighted for a size of the advertisement relative to that of other advertisements, (e) a measure of user interest for the advertisement weighted for past positions of the advertisement relative to those past positions of other advertisements, (f) expected user interest in the advertisement, (g) a time needed to render the advertisement relative to that needed to render other advertisements, (h) a measure of user interest for the advertisement weighted for a media type of the advertisement, and (i) a conversion rate associated with the advertisement
- Price information and/or performance information may be weighted or otherwise adjusted. Window functions may be used to determine a relevant time frame or number of data to be considered.
-
FIG. 1 is a high-level diagram showing parties or entities that can interact with an advertising system. -
FIG. 2 is a bubble chart of an advertising environment in which the present invention may operate. -
FIG. 3 is a flow diagram of a first exemplary method that may be used to effect a presentation ordering operation in an environment such as that ofFIG. 2 . -
FIG. 4 is a flow diagram of a second exemplary method that may be used to effect a presentation ordering operation in an environment such as that ofFIG. 2 . -
FIG. 5 is a high-level block diagram of apparatus that may be used to effect at least some of the various operations that may be performed in accordance with the present invention. -
FIG. 6 is a block diagram of a Web page that may be generated by a page assembly operation of an ad consumer, for rendering on a viewer's screen. - The present invention involves novel methods, apparatus, message formats and data structures for providing effective advertisements in an interactive environment. The following description is presented to enable one skilled in the art to make and use the invention, and is provided in the context of particular applications and their requirements. Various modifications to the disclosed embodiments will be apparent to those skilled in the art, and the general principles set forth below may be applied to other embodiments and applications. Thus, the present invention is not intended to be limited to the embodiments shown and the inventors regard their invention as the following disclosed methods, apparatus, message formats and data structures and any other patentable subject matter.
- In the following, environments in which the present invention may operate are described in 4.1. Then, exemplary embodiments of the present invention are described in 4.2. An example of operations of an exemplary embodiment of the invention is then provided in 4.3. Finally, some conclusions regarding the present invention are set forth in 4.4.
- §4.1 ENVIRONMENTS IN WHICH THE PRESENT INVENTION MAY OPERATE
-
FIG. 1 is a high level diagram of an advertising environment. The environment may include an ad entry, maintenance anddelivery system 120. Advertisers 110 may directly, or indirectly, enter, maintain, and track ad information in thesystem 120. The ads may be in the form of graphical ads such as so-called banner ads, text only ads, audio ads, video ads, etc.Ad consumers 130 may submit requests for ads to, accept ads responsive to their request from, and provide historical or usage information to, thesystem 120. - One example of an
ad consumer 130 is a general content server which receives requests for content (e.g., articles, discussion threads, music, video, graphics, search results, webpage listings, etc.), and retrieves the requested content in response or otherwise services the request. The content server may submit a request for ads to thesystem 120. Such an ad request may include a number of ads desired. The ad request may also include the content request information. This information may include the content itself (e.g., page), a category corresponding to the content or the content request (e.g., arts, business, computers, arts-movies, arts-music, etc.), part or all of the content request, content age, content type (e.g., text, graphics, video, audio, mixed media, etc.), geolocation information, etc. - The content server may combine the requested content with one or more of the advertisements provided by the
system 120. This combined information including the content and advertisement(s) is then forwarded towards the viewer that requested the content, for presentation to the viewer. Finally, the content server may transmit information about the ads and how the ads are to be rendered (e.g., position, click-through or not, impression time, impression date, size, etc.) back to thesystem 120. - Another example of an
ad consumer 130 is a search engine. A search engine may receive queries for search results. In response, the search engine may retrieve relevant search results (e.g., from an index of Web pages). An exemplary search engine is described in the article S. Brin and L. Page, “The Anatomy of a Large-Scale Hypertextual Search Engine,” Seventh International World Wide Web Conference, Brisbane, Australia (incorporated herein by reference). Such search results may include, for example, lists of Web page titles, snippets of text extracted from those Web pages, and hypertext links to those Web pages, and may be grouped into a predetermined number of (e.g., ten) search results. - The search engine may submit a request for ads to the
system 120. The request may include a number of ads desired. This number may depend on the search results, the amount of screen or page space occupied by the search results, the size and shape of the ads, etc. In one embodiment, the number of desired ads will be from one to ten, and preferably from three to five. The request for ads may also include the query (as entered or parsed), information based on the query (such as geolocation information), and/or information associated with, or based on, the search results. Such information may include, for example, identifiers related to the search results (e.g., document identifiers or “docIDs”), scores related to the search results (e.g., information retrieval (“IR”) scores such as dot products of feature vectors corresponding to a query and a document, Page Rank scores, and/or combinations of IR scores and Page Rank scores), snippets of text extracted from identified documents (e.g., WebPages), full text of identified documents, feature vectors of identified documents, etc. - The search engine may combine the search results with one or more of the advertisements provided by the
system 120. This combined information including the search results and advertisement(s) is then forwarded towards the user that requested the content, for presentation to the user. Finally, the search engine may transmit information about the ad and how the ad was to be rendered (e.g., position, click-through or not, impression time, impression date, size, etc.) back to thesystem 120. -
FIG. 2 illustrates anexemplary ad system 120′, consistent with the present invention. Theexemplary ad system 120′ may include aninventory system 210 and may storead information 205 and usage or historical (e.g., statistical)information 245. Theexemplary system 120′ may support ad information entry and management operation(s) 215, campaign (e.g., targeting) assistance operation(s) 220, accounting and billing operation(s) 225, ad serving operation(s) 230, relevancy determination operation(s) 235,optimization operations 240,presentation ordering operations 250, and fraud detection operation(s) 255. Advertisers 110 may interface with thesystem 120′ via the ad information entry and management operation(s) 215 as indicated byinterface 216.Ad consumers 130 may interface with thesystem 120′ via the ad serving operation(s) 230 as indicated byinterface 231. - The present invention primarily concerns the presentation ordering operation(s) 250, and is described more fully in section 4.2. For contextual purposes, however, a brief description of the other parts of
ad system 120′ appears below. - An advertising program includes information concerning accounts, campaigns, creatives, targeting, etc. The term “account” relates to information for a given advertiser. A “campaign” or “ad campaign” refers to a series of advertisements designed to achieve a larger objective, and may include a start date, an end date, keywords, prices, price limits, and one or more advertisements (i.e., “creatives”) used to market a given good, service, class of goods, or class of services. For example, Honda may have one advertising campaign for its automotive line, and a separate advertising campaign for its motorcycle line. The campaign for its automotive line may be targeted using a variety of keywords (e.g., “accord”, “sedan”, etc.), each of which may be associated with one or more creatives.
- The
ad information 205 can be entered and managed via the ad information entry and management operation(s) 215. Campaign (e.g., targeting) assistance operation(s) 220 can be employed to help advertisers 110 generate effective ad campaigns. The campaign assistance operation(s) 220 can use information provided by theinventory system 210, which, in the context of advertising for use with a search engine, may track all possible ad impressions, ad impressions already reserved, and ad impressions available for given keywords. The ad serving operation(s) 230 may service requests for ads fromad consumers 130. The ad serving operation(s) 230 may use relevancy determination operation(s) 235 to determine candidate ads for a given request. The ad serving operation(s) 230 may then use optimization operation(s) 240 to select a final set of one or more of the candidate ads. Finally, the ad serving operation(s) 250 may use presentation ordering operation(s) 250 to order the presentation of the ads to be returned. The fraud detection operation(s) 255 can be used to reduce fraudulent use of the advertising system (e.g., by advertisers), such as through the use of stolen credit cards. -
FIG. 5 is high-level block diagram of amachine 500 that may effect one or more of the operations discussed above. Themachine 500 basically includes a processor(s) 510, an input/output interface unit(s) 530, a storage device(s) 520, and a system bus ornetwork 540 for facilitating the communication of information among the coupled elements. An input device(s) 532 and an output device(s) 534 may be coupled with the input/output interface(s) 530. - The processor(s) 510 may execute machine-executable instructions (e.g., C or C++ running on the Solaris operating system available from Sun Microsystems Inc. of Palo Alto, Calif. or the Linux operating system widely available from a number of vendors such as Red Hat, Inc. of Durham, N.C.) to effect one or more aspects of the present invention. At least a portion of the machine executable instructions may be stored (temporarily or more permanently) on the storage device(s) 520 and/or may be received from an external source via an
input interface unit 530. - In one embodiment, the
machine 500 may be one or more conventional personal computers. In this case, the processing unit(s) 510 may be one or more microprocessors. Thebus 540 may include a system bus. Thestorage devices 520 may include system memory, such as read only memory (ROM) and/or random access memory (RAM). The storage device(s) 520 may also include a hard disk drive for reading from and writing to a hard disk, a magnetic disk drive for reading from or writing to a (e.g., removable) magnetic disk, and an optical disk drive for reading from or writing to a removable (magneto-) optical disk such as a compact disk or other (magneto-) optical media. - A user may enter commands and information into the personal computer through
input devices 532, such as a keyboard and pointing device (e.g., a mouse) for example. Other input devices such as a microphone, a joystick, a game pad, a satellite dish, a scanner, or the like, may also (or alternatively) be included. These and other input devices are often connected to the processing unit(s) 510 through anappropriate interface 530 coupled to thesystem bus 540. However, in the context of presentation ordering operation(s), no input devices, other than those needed to accept queries, and possibly those for system administration and maintenance, are needed. - The output device(s) 534 may include a monitor or other type of display device, which may also be connected to the
system bus 540 via an appropriate interface. In addition to (or instead of) the monitor, the personal computer may include other (peripheral) output devices (not shown), such as speakers and printers for example. Again, in the context of presentation ordering operation(s), no output devices, other than those needed to communicate query results, and possibly those for system administration and maintenance, are needed. - The embodiments below will be described in reference to
FIG. 6 , which is an abstract illustration of adisplay page 610. Theoutline 620 depicted with dashed lines corresponds to a portion of thedisplay page 610 that may be viewed on a typical personal computer display screen at a typical resolution. Theexemplary display page 610 may include header information 612 (e.g., the name of search engine host), trailer information 616 (e.g., copyright, navigational hypertext links, etc.), a plurality ofsearch results 614 and a plurality ofads FIG. 6 shows only three ads 618, embodiments consistent with the present invention may have more or less ads. For example, ten search results combined with ten ads has been found to be effective. -
FIG. 3 is a flow diagram of an ordering method consistent with the present invention. As indicated byblock 310, a list of candidate ads is obtained. Suppose this list contains four ads, called A, B, C, and D. Then, as indicated byblock 320, one or more performance parameters (or more generally, “performance information”) for each candidate ad is identified. Examples of a performance parameter include a click-through count, a click-through rate (e.g., the number of times an ad is selected divided by the number of times the ad is rendered), a conversion count (e.g., the number of times a transaction, associated with an ad, is consummated, either immediately or at some later time), a conversion rate, user ratings of the ad, focus group ratings of the ad, a measure of user interest for the ad weighted for a size of the ad relative to that of other ads, a measure of user interest for the ad weighted for past positions of the ad relative to those past positions of other ads, expected user interest in the ad, a time needed to render the ad relative to that needed to render other ads, and a measure of user interest for the ad weighted for a media type of the ad, etc. The performance parameter may be a combination of time-weighted performance parameter data. Window functions may be applied to performance parameter data. - A performance parameter of an ad may be keyword-dependent, or associated with a keyword or keywords. One example of a keyword-dependent performance parameter is an ad click-through rate for a given keyword(s). One embodiment of the present invention can apply a threshold to such a keyword-dependent performance parameter to determine whether or not to render a candidate ad when a query includes the keyword(s) that caused the ad to be deemed relevant. For example, if the click-through rate of a particular ad is below a predetermined value (e.g., 0.5%) for a particular keyword(s), that ad could either (a) not be rendered at all for the particular keyword(s), or (b) rendered less frequently that it would be otherwise for the particular keyword(s).
- In one exemplary implementation, the performance parameter is a windowed, time-weighted function of (e.g., average) click-through rate for the ad. The time period for a window (both how long the window is and when in time the window begins) may be adjusted. For example, a long window will better reflect historical trends but may be less sensitive to recent changes. Similarly, the starting point (in time) for the window will affect its sensitivity to recent or historical information. Regardless of the window parameter, the data within the window may also be tuned. For example, rather than treating each data point within the window equally, it may be desirable to give some data points (e.g., more recent ones) greater weight than other data points. By adjusting the window and weighting parameters, therefore, one can customize the performance parameter (in this case click-through rate) to achieve desired results. A window size of the 1000 most recent impressions, weighted linearly such that the most recent impressions are favored, has been found to be effective. Similar modifications may be appropriate if performance parameters other than click-through rate are used.
- Assume that ads A, B, C, and D have the following windowed, time-weighted average click-through rates, respectively: 5.1%, 0.3%, 7.2%, and 2.9%. Then, as indicated by
block 330, a score is determined for each candidate ad based on the one or more performance parameter(s). Finally, as indicated byblock 340, the ads may be ordered based on their scores, and themethod 250′ may then be left viaRETURN node 350. In the present example, the order would be C, A, D, B. - The method described by
FIG. 3 is particularly well suited for an environment wherein the advertiser pays each time the ad is shown (i.e., per impression), regardless of whether a user actually clicks on the ad. In one implementation, the cost to the advertiser varies based on the order of the ad. For example, an ad that is ranked first may cost $15.00 per thousand impressions (i.e., $15 CPM) whereas an ad that is ranked second may cost $12.00 per thousand impressions, and an ad that is ranked third may cost $10.00 per thousand impressions. This reflects an assumption that the higher ranked ads will be placed more prominently (e.g., higher on a search results page) and will thereby be more effective in attracting business from the viewer. -
FIG. 4 is a flow diagram of another ordering method consistent with the present invention. As indicated byblock 410, a list of candidate ads is obtained. Suppose again that this list contains the four ads described above in reference toFIG. 3 : A, B, C, and D. Then, as indicated byblock 420, one or more performance parameters (or more generally, “performance information”) for each candidate ad is identified. In one implementation, the performance parameter is a windowed, time-weighted average click-through rate for the ad, as described above in reference toFIG. 3 . Assume that ads A, B, C, and D have the following windowed, time-weighted average click-through rates, respectively: 5.1%, 0.3%, 7.2%, and 2.9%. - Similarly, as indicated by
block 430, a price parameter (or more generally, “price information”) is identified for each candidate ad. Examples of a price parameter include cost per impression, cost per selection (e.g., click-through), cost per conversion, etc. In one implementation, this price is a cost-per-click, which may be defined in advance as a negotiated or auction-based fee, or may be determined dynamically as a function of the ad's performance. Assume that at a given point in time, ads A, B, C, and D have the following costs-per-click, respectively: $0.30 per thousand clicks, $0.20 per thousand clicks, $0.10 per thousand clicks, and $0.20 per thousand clicks. - Then, as indicated by
block 440, a score is determined for each candidate ad based on the one or more performance parameters and the price. In one implementation, this score is a product of the windowed, time-weighted average click-through rate and the cost-per-click. Accordingly, ad A has a score of 1.53 (5.1% multiplied by 0.30), ad B has a score of 0.06 (0.3% multiplied by 0.20), ad C has a score of 1.44 (7.2% multiplied by 0.20), and ad D has a score of 0.58 (2.9% multiplied by 0.20). Finally, as indicated byblock 450, the ads may be ordered based on their scores, and themethod 250′ may then be left viaRETURN node 460. In the present example, the order would be A, C, D, B. - In certain cases, it may be desirable to modify the score produced by the methods described by
FIGS. 3 and 4 , to take into account unique information. For example, it may be desirable to employ a multiplier (e.g., 1.3) to increase the ad scores of certain valued or strategic advertisers. Similarly, it may be desirable to employ a multiplier to increase the ad scores for campaigns that are time sensitive. There may, of course, exist other reasons to increase or decrease the scores for particular campaigns, ads, advertisers, etc. And such increases or decreases may be achieved by employing a multiplier to the overall resulting score, individual components of the score (e.g., click-through rate, cost-per-click, etc), etc. Other functions, including linear functions, polynomial functions, and exponential functions for example, may employ such coefficients or values to adjust scores. Statistical weighting (e.g., based on a deviation such as a standard deviation) may also be used to adjust price and/or performance information. Such time and/or statistical weighting may be used, for example, to desensitize the presentation ordering operation(s) to spikes or other anomalies. - Using the example page shown in
FIG. 6 , assume that thead consumer 130 is a search engine that requested three ads. Using the method described in reference toFIG. 3 , the three highest scoring ads (A, C, and D) would be returned, with ad C being shown inposition 618 a, ad A inposition 618 b, and ad D inposition 618 c. Using the method described in reference toFIG. 4 , the three highest scoring ads (A, C, and D) would be returned, with ad A being shown inposition 618 a, ad C inposition 618 b, and ad D inposition 618 c. In an alternative embodiment, a relative size of other prominence feature of the ad, in addition to, or instead of, the placement order of the ads, may be based on the scores associated with the ads. - One factor to consider with methods consistent with the present invention is that it may be desirable not to show only the highest ranking ads. For example, it may be that new or low ranking ads have not been shown enough to have a statistically meaningful performance parameter. In this case (or even in general), one might artificially or temporarily increase the scores for certain ads (e.g., new or low ranking ads) at random, periodic, or other intervals. Alternatively, it may be desirable never to return ads with scores below a defined threshold, so long as they have been shown a statistically sufficient number of times to discern their performance.
- As mentioned earlier, a potential benefit of the organization of
exemplary display page 610 is that the search results 614 are maintained as distinct from the ads 618. The search results are ordered based on criteria that determines how relevant those information sources are to the search query entered by the user. The ads are ordered based on the methods described above. Yet by maintaining clear linear separation between the search results 614 and the ads 618, the user is not misled into confusing search results with paid advertisements. This allows the display of multiple ads on the same page as multiple search results while maintaining separation between the two such that a viewer can clearly distinguish search results from paid ads. Althoughdisplay page 610 shows the advertisements positioned to the right of (adjacent) search results, other ways to separate the content from the advertisements are also possible. For example, the advertisements could be positioned to the left of (adjacent) search results. - As can be appreciated from the foregoing disclosure, the advertising techniques described above account for the interests of users (e.g., users of a search engine) by providing them with ads that are of interest and that are not easily confused with noncommercial requested content (such as search results), if any. Further, the interests of the advertisers are well served since users will presumably be more likely to click-through on ads that are of interest to them.
- The foregoing description of preferred embodiments of the present invention provides illustration and description, but is not intended to be exhaustive or to limit the invention to the precise form disclosed. Modifications and variations are possible in light of the above teachings or may be acquired from practice of the invention. For example, the presentation ordering operation(s) 250 can be distributed among
various ad consumers 130, rather than operating centrally at the ad entry, maintenance and delivery system(s) 120.
Claims (12)
1. A computer-implemented method comprising:
a) accepting, with a computer system including at least one computer, an ad request, the ad request being associated with a document with which the ads are to be rendered;
b) determining, with the computer system, a plurality of candidate ads using
1) targeting information associated with ads, and
2) at least one of (A) content of the document, or (B) a category of the document;
c) accepting, with the computer system, performance information and price information for each of the plurality of candidate ads;
d) ordering, with the computer system, at least some of the plurality of candidate ads using both the price information and the performance information, to generate a set of ordered ads; and
e) serving, with the computer system, the set of ordered ads to induce presentation of the set of ordered ads to a user.
2. The computer-implemented method of claim 1 , wherein each of the plurality of ads is associated with an advertiser, and wherein the price information is based on an amount the advertiser has agreed to pay each time the ad is rendered.
3. The computer-implemented method of claim 1 , wherein each of the plurality of ads is associated with an advertiser, and wherein the price information is based on an amount the advertiser has agreed to pay each time the ad is rendered and selected.
4. The computer-implemented method of claim 1 , wherein each of the plurality of ads is associated with an advertiser, and wherein the price information is based on an amount the advertiser has agreed to pay each time the ad is rendered and a conversion, associated with the ad, occurs.
5. The computer-implemented method of claim 1 , wherein the performance information includes ad selection information.
6. The computer-implemented method of claim 1 , wherein the performance information includes ad conversion information.
7. Apparatus comprising:
a) at least one processor; and
b) at least one storage device storing instructions, which when executed by the at least one processor, cause the at least one processor to perform a method including
1) accepting an ad request, the ad request being associated with a document with which the ads are to be rendered,
2) determining a plurality of candidate ads using
i) targeting information associated with ads, and
ii) at least one of (A) content of the document, or (B) a category of the document,
3) accepting performance information and performance information for each of the plurality of candidate ads,
4) ordering at least some of the plurality of candidate ads using both the price information and the performance information, to generate a set of ordered ads, and
5) serving the set of ordered ads to induce presentation of the set of ordered ads to a user.
8. The apparatus of claim 7 , wherein each of the plurality of ads is associated with an advertiser, and wherein the price information is based on an amount the advertiser has agreed to pay each time the ad is rendered.
9. The apparatus of claim 7 , wherein each of the plurality of ads is associated with an advertiser, and wherein the price information is based on an amount the advertiser has agreed to pay each time the ad is rendered and selected.
10. The apparatus of claim 7 , wherein each of the plurality of ads is associated with an advertiser, and wherein the price information is based on an amount the advertiser has agreed to pay each time the ad is rendered and a conversion, associated with the ad, occurs.
11. The apparatus of claim 7 , wherein the performance information includes ad selection information.
12. The apparatus of claim 7 , wherein the performance information includes ad conversion information.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2012048719A (en) * | 2010-08-25 | 2012-03-08 | Nhn Business Platform Corp | Advertisement system and method based on quality of traffic |
US8682721B1 (en) * | 2013-06-13 | 2014-03-25 | Google Inc. | Methods and systems for improving bid efficiency of a content provider |
US20140214545A1 (en) * | 2013-01-31 | 2014-07-31 | Hao Zhang | Ranking of advertisements for display on a mobile device |
WO2016016904A1 (en) * | 2014-07-29 | 2016-02-04 | Gupta SIDDHANT | Method and system for performing online advertisement monitoring |
US9602566B1 (en) * | 2014-02-13 | 2017-03-21 | Google Inc. | Providing selectable content creator controls in conjunction with sponsored media content items |
US11144950B2 (en) | 2016-01-12 | 2021-10-12 | Tencent Technology (Shenzhen) Company Limited | Information delivery method and apparatus, server, and storage medium |
US11765438B2 (en) | 2013-10-25 | 2023-09-19 | Turner Broadcasting System, Inc. | Providing interactive advertisements |
Families Citing this family (312)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6389009B1 (en) | 2000-12-28 | 2002-05-14 | Vertical Networks, Inc. | Systems and methods for multiple mode voice and data communications using intelligently bridged TDM and packet buses |
US6181694B1 (en) | 1998-04-03 | 2001-01-30 | Vertical Networks, Inc. | Systems and methods for multiple mode voice and data communciations using intelligently bridged TDM and packet buses |
US6223165B1 (en) | 1999-03-22 | 2001-04-24 | Keen.Com, Incorporated | Method and apparatus to connect consumer to expert |
US20080052353A1 (en) * | 2000-03-09 | 2008-02-28 | Utbk, Inc. | System for Recording and Distributing Recorded Information over the Internet |
US6636590B1 (en) * | 2000-10-30 | 2003-10-21 | Ingenio, Inc. | Apparatus and method for specifying and obtaining services through voice commands |
US8554617B2 (en) | 2007-10-02 | 2013-10-08 | Ingenio Llc | Systems and methods to provide alternative connections for real time communications |
US7289623B2 (en) | 2001-01-16 | 2007-10-30 | Utbk, Inc. | System and method for an online speaker patch-through |
US20020133402A1 (en) | 2001-03-13 | 2002-09-19 | Scott Faber | Apparatus and method for recruiting, communicating with, and paying participants of interactive advertising |
US6704403B2 (en) * | 2001-09-05 | 2004-03-09 | Ingenio, Inc. | Apparatus and method for ensuring a real-time connection between users and selected service provider using voice mail |
US7778872B2 (en) * | 2001-09-06 | 2010-08-17 | Google, Inc. | Methods and apparatus for ordering advertisements based on performance information and price information |
US20160162931A1 (en) * | 2001-09-06 | 2016-06-09 | Georges Harik | Methods and apparatus for ordering advertisements based on performance information |
US7580850B2 (en) | 2001-12-14 | 2009-08-25 | Utbk, Inc. | Apparatus and method for online advice customer relationship management |
US7937439B2 (en) * | 2001-12-27 | 2011-05-03 | Utbk, Inc. | Apparatus and method for scheduling live advice communication with a selected service provider |
US20050114198A1 (en) * | 2003-11-24 | 2005-05-26 | Ross Koningstein | Using concepts for ad targeting |
US7680796B2 (en) * | 2003-09-03 | 2010-03-16 | Google, Inc. | Determining and/or using location information in an ad system |
US7716161B2 (en) | 2002-09-24 | 2010-05-11 | Google, Inc, | Methods and apparatus for serving relevant advertisements |
US7716199B2 (en) * | 2005-08-10 | 2010-05-11 | Google Inc. | Aggregating context data for programmable search engines |
US20060149624A1 (en) * | 2004-12-30 | 2006-07-06 | Shumeet Baluja | Generating and/or serving local area advertisements, such as advertisements for devices with call functionality |
US7743045B2 (en) * | 2005-08-10 | 2010-06-22 | Google Inc. | Detecting spam related and biased contexts for programmable search engines |
US20050021397A1 (en) * | 2003-07-22 | 2005-01-27 | Cui Yingwei Claire | Content-targeted advertising using collected user behavior data |
US20070038614A1 (en) * | 2005-08-10 | 2007-02-15 | Guha Ramanathan V | Generating and presenting advertisements based on context data for programmable search engines |
US7693830B2 (en) * | 2005-08-10 | 2010-04-06 | Google Inc. | Programmable search engine |
US7599852B2 (en) * | 2002-04-05 | 2009-10-06 | Sponster Llc | Method and apparatus for adding advertising tag lines to electronic messages |
US20030216930A1 (en) * | 2002-05-16 | 2003-11-20 | Dunham Carl A. | Cost-per-action search engine system, method and apparatus |
US7370002B2 (en) * | 2002-06-05 | 2008-05-06 | Microsoft Corporation | Modifying advertisement scores based on advertisement response probabilities |
US7752072B2 (en) * | 2002-07-16 | 2010-07-06 | Google Inc. | Method and system for providing advertising through content specific nodes over the internet |
US20100100437A1 (en) | 2002-09-24 | 2010-04-22 | Google, Inc. | Suggesting and/or providing ad serving constraint information |
US20040059712A1 (en) * | 2002-09-24 | 2004-03-25 | Dean Jeffrey A. | Serving advertisements using information associated with e-mail |
US7881658B2 (en) * | 2002-10-10 | 2011-02-01 | Znl Enterprises, Llc | Method and apparatus for entertainment and information services delivered via mobile telecommunication devices |
JP2004164077A (en) * | 2002-11-11 | 2004-06-10 | Nec Infrontia Corp | Internet access service providing method, and system for the same |
US7908352B2 (en) | 2002-12-19 | 2011-03-15 | Converged Data Solutions, Inc. | Methods for managing a plurality of localized devices in geographically diverse locations |
US7739365B2 (en) | 2002-12-19 | 2010-06-15 | Converged Data Solutions, Inc. | Methods for providing a report database for a plurality of localized devices using an abstraction layer and atomic error handling |
US7779247B2 (en) | 2003-01-09 | 2010-08-17 | Jericho Systems Corporation | Method and system for dynamically implementing an enterprise resource policy |
US8224689B1 (en) | 2003-01-10 | 2012-07-17 | Google Inc. | Estimating inventory, user behavior, and/or cost and presentation attributes for an advertisement for use with an advertising system |
US20040148222A1 (en) * | 2003-01-24 | 2004-07-29 | John Sabella | Method and system for online advertising |
US20040199397A1 (en) * | 2003-03-26 | 2004-10-07 | Scott Dresden | Integrated dynamic pricing and procurement support for e-commerce advertising channels |
US7359498B2 (en) * | 2003-06-12 | 2008-04-15 | Utbk, Inc. | Systems and methods for arranging a call |
US7698183B2 (en) | 2003-06-18 | 2010-04-13 | Utbk, Inc. | Method and apparatus for prioritizing a listing of information providers |
US7792828B2 (en) | 2003-06-25 | 2010-09-07 | Jericho Systems Corporation | Method and system for selecting content items to be presented to a viewer |
US7574651B2 (en) * | 2003-06-26 | 2009-08-11 | Yahoo! Inc. | Value system for dynamic composition of pages |
US8595071B2 (en) * | 2003-06-30 | 2013-11-26 | Google Inc. | Using enhanced ad features to increase competition in online advertising |
US7363302B2 (en) | 2003-06-30 | 2008-04-22 | Googole, Inc. | Promoting and/or demoting an advertisement from an advertising spot of one type to an advertising spot of another type |
US20050027587A1 (en) * | 2003-08-01 | 2005-02-03 | Latona Richard Edward | System and method for determining object effectiveness |
US7886009B2 (en) | 2003-08-22 | 2011-02-08 | Utbk, Inc. | Gate keeper |
US20050222989A1 (en) * | 2003-09-30 | 2005-10-06 | Taher Haveliwala | Results based personalization of advertisements in a search engine |
US7120235B2 (en) * | 2003-10-06 | 2006-10-10 | Ingenio, Inc. | Method and apparatus to provide pay-per-call performance based advertising |
US7424442B2 (en) | 2004-05-04 | 2008-09-09 | Utbk, Inc. | Method and apparatus to allocate and recycle telephone numbers in a call-tracking system |
US8069082B2 (en) * | 2003-10-06 | 2011-11-29 | Utbk, Inc. | Methods and apparatuses to determine prices of communication leads |
US9203974B2 (en) * | 2003-10-06 | 2015-12-01 | Yellowpages.Com Llc | Methods and apparatuses for offline selection of pay-per-call advertisers |
US8140392B2 (en) * | 2003-10-06 | 2012-03-20 | Utbk, Inc. | Methods and apparatuses for pay for lead advertisements |
US8837698B2 (en) | 2003-10-06 | 2014-09-16 | Yp Interactive Llc | Systems and methods to collect information just in time for connecting people for real time communications |
US20070121847A1 (en) * | 2003-10-06 | 2007-05-31 | Utbk, Inc. | Methods and Apparatuses to Provide Application Programming Interface for Managing Pay Per Call Advertisements |
US8024224B2 (en) * | 2004-03-10 | 2011-09-20 | Utbk, Inc. | Method and apparatus to provide pay-per-call advertising and billing |
US7366683B2 (en) | 2003-10-06 | 2008-04-29 | Utbk, Inc. | Methods and apparatuses for offline selection of pay-per-call advertisers |
US10425538B2 (en) * | 2003-10-06 | 2019-09-24 | Yellowpages.Com Llc | Methods and apparatuses for advertisements on mobile devices for communication connections |
US9984377B2 (en) | 2003-10-06 | 2018-05-29 | Yellowpages.Com Llc | System and method for providing advertisement |
US7428497B2 (en) | 2003-10-06 | 2008-09-23 | Utbk, Inc. | Methods and apparatuses for pay-per-call advertising in mobile/wireless applications |
US9208498B2 (en) * | 2003-10-06 | 2015-12-08 | Yellowpages.Com Llc | Methods and apparatuses to track keywords for establishing communication links |
US9208497B2 (en) * | 2005-02-25 | 2015-12-08 | Yellowpages.Com Llc | Methods and apparatuses for prioritizing advertisements for presentation |
US9208496B2 (en) * | 2003-10-06 | 2015-12-08 | Yellowpages.Com Llc | Systems and methods to provide a communication reference in a representation of a geographical region |
US8140389B2 (en) | 2003-10-06 | 2012-03-20 | Utbk, Inc. | Methods and apparatuses for pay for deal advertisements |
US8121898B2 (en) | 2003-10-06 | 2012-02-21 | Utbk, Inc. | Methods and apparatuses for geographic area selections in pay-per-call advertisement |
US20070121845A1 (en) * | 2003-10-06 | 2007-05-31 | Utbk, Inc. | Methods and apparatuses for offline selection of pay-per-call advertisers via visual advertisements |
US20070162296A1 (en) * | 2003-10-06 | 2007-07-12 | Utbk, Inc. | Methods and apparatuses for audio advertisements |
US8027878B2 (en) * | 2003-10-06 | 2011-09-27 | Utbk, Inc. | Method and apparatus to compensate demand partners in a pay-per-call performance based advertising system |
US20070124207A1 (en) * | 2003-10-06 | 2007-05-31 | Utbk, Inc. | Methods and Apparatuses to Provide Prompts in Connecting Customers to Advertisers |
US9208495B2 (en) * | 2003-10-06 | 2015-12-08 | Yellowpages.Com Llc | Methods and apparatuses for advertisement presentation |
US9202217B2 (en) * | 2003-10-06 | 2015-12-01 | Yellowpages.Com Llc | Methods and apparatuses to manage multiple advertisements |
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 |
ATE331396T1 (en) * | 2003-11-24 | 2006-07-15 | Cit Alcatel | METHOD OF DISPLAYING CONTENT |
US7447678B2 (en) * | 2003-12-31 | 2008-11-04 | Google Inc. | Interface for a universal search engine |
US8341017B2 (en) * | 2004-01-09 | 2012-12-25 | Microsoft Corporation | System and method for optimizing search result listings |
US20050154717A1 (en) * | 2004-01-09 | 2005-07-14 | Microsoft Corporation | System and method for optimizing paid listing yield |
US20050216547A1 (en) * | 2004-03-10 | 2005-09-29 | Foltz-Smith Russell A | System for organizing advertisements on a web page and related method |
US8589227B1 (en) | 2004-03-26 | 2013-11-19 | Media Management, Incorporated | Method and system for reconciling advertising invoices and for providing prompt payment therefor |
US20050222982A1 (en) * | 2004-03-31 | 2005-10-06 | Paczkowski Remigiusz K | System and method for responding to search requests in a computer network |
KR100462293B1 (en) * | 2004-03-31 | 2004-12-17 | 엔에이치엔(주) | Method for billing advertiser for keyword advertisement in internet search engine and a system thereof |
US8914383B1 (en) | 2004-04-06 | 2014-12-16 | Monster Worldwide, Inc. | System and method for providing job recommendations |
US7697791B1 (en) | 2004-05-10 | 2010-04-13 | Google Inc. | Method and system for providing targeted documents based on concepts automatically identified therein |
US20050251444A1 (en) * | 2004-05-10 | 2005-11-10 | Hal Varian | Facilitating the serving of ads having different treatments and/or characteristics, such as text ads and image ads |
US8065611B1 (en) | 2004-06-30 | 2011-11-22 | Google Inc. | Method and system for mining image searches to associate images with concepts |
US7996753B1 (en) | 2004-05-10 | 2011-08-09 | Google Inc. | Method and system for automatically creating an image advertisement |
US11409812B1 (en) | 2004-05-10 | 2022-08-09 | Google Llc | Method and system for mining image searches to associate images with concepts |
KR100492075B1 (en) * | 2004-06-24 | 2005-06-01 | 엔에이치엔(주) | Method and system for selecting search list table in an internet search engine in response to search request |
US20050286709A1 (en) * | 2004-06-28 | 2005-12-29 | Steve Horton | Customer service marketing |
US8494900B2 (en) * | 2004-06-30 | 2013-07-23 | Google Inc. | Adjusting ad costs using document performance or document collection performance |
US10032452B1 (en) | 2016-12-30 | 2018-07-24 | Google Llc | Multimodal transmission of packetized data |
US20130024283A1 (en) * | 2004-07-20 | 2013-01-24 | Brian Axe | Using per document or document type performance of ad configurations in ad serving decisions |
US7734503B2 (en) * | 2004-09-29 | 2010-06-08 | Google, Inc. | Managing on-line advertising using metrics such as return on investment and/or profit |
US7904337B2 (en) | 2004-10-19 | 2011-03-08 | Steve Morsa | Match engine marketing |
US20060109327A1 (en) * | 2004-11-01 | 2006-05-25 | Diamond Arthur S | Radiofrequency activated inkjet inks and apparatus for inkjet printing |
KR100666201B1 (en) * | 2004-11-29 | 2007-01-09 | 엔에이치엔(주) | Method for providing a search service and system for executing the method |
US20060122879A1 (en) * | 2004-12-07 | 2006-06-08 | O'kelley Brian | Method and system for pricing electronic advertisements |
US20060143071A1 (en) * | 2004-12-14 | 2006-06-29 | Hsbc North America Holdings Inc. | Methods, systems and mediums for scoring customers for marketing |
US20060155728A1 (en) * | 2004-12-29 | 2006-07-13 | Jason Bosarge | Browser application and search engine integration |
US20060149625A1 (en) * | 2004-12-30 | 2006-07-06 | Ross Koningstein | Suggesting and/or providing targeting information for advertisements |
US20060149710A1 (en) * | 2004-12-30 | 2006-07-06 | Ross Koningstein | Associating features with entities, such as categories of web page documents, and/or weighting such features |
CN101601032A (en) * | 2005-01-18 | 2009-12-09 | 雅虎公司 | Coupling and rank in conjunction with the sponsored search of world wide web search technology and web content |
US8112310B1 (en) * | 2005-01-21 | 2012-02-07 | A9.Com, Inc. | Internet advertising system that provides ratings-based incentives to advertisers |
US20090030779A1 (en) * | 2005-02-04 | 2009-01-29 | Preston Tollinger | Electronic coupon filtering and delivery |
US9785973B2 (en) | 2005-02-04 | 2017-10-10 | Cellfire Inc. | Delivering targeted advertising to mobile devices |
US7958047B2 (en) | 2005-02-04 | 2011-06-07 | The Invention Science Fund I | Virtual credit in simulated environments |
US8538768B2 (en) * | 2005-02-16 | 2013-09-17 | Ingenio Llc | Methods and apparatuses for delivery of advice to mobile/wireless devices |
US9202219B2 (en) | 2005-02-16 | 2015-12-01 | Yellowpages.Com Llc | System and method to merge pay-for-performance advertising models |
US20070174124A1 (en) * | 2005-02-25 | 2007-07-26 | Utbk, Inc. | Methods and Apparatuses for Prioritizing Featured Listings |
US7979308B2 (en) | 2005-03-03 | 2011-07-12 | Utbk, Inc. | Methods and apparatuses for sorting lists for presentation |
US20060206517A1 (en) * | 2005-03-11 | 2006-09-14 | Yahoo! Inc. | System and method for listing administration |
WO2006099289A2 (en) * | 2005-03-11 | 2006-09-21 | Yahoo! Inc. | System and method for listing administration |
US8850011B2 (en) * | 2005-04-21 | 2014-09-30 | Microsoft Corporation | Obtaining and displaying virtual earth images |
US20060265283A1 (en) * | 2005-05-20 | 2006-11-23 | Anchorfree, Inc. | System and method for monetizing internet usage |
US20070078718A1 (en) * | 2005-05-20 | 2007-04-05 | Anchorfree, Inc. | System and method for monetizing internet usage |
US9626683B2 (en) * | 2005-05-20 | 2017-04-18 | Anchorfree, Inc. | Method and system for advanced messaging |
US7747619B2 (en) * | 2005-11-30 | 2010-06-29 | Anchorfree, Inc. | Computerized system and method for advanced advertising |
US20060265501A1 (en) * | 2005-05-20 | 2006-11-23 | Anchorfree Wireless | System and method for enabling wireless internet access in public areas |
US20060293962A1 (en) * | 2005-05-20 | 2006-12-28 | Anchorfree, Inc. | Computerized networking device with embedded advanced content and web traffic monetization functionality |
US7647305B2 (en) * | 2005-11-30 | 2010-01-12 | Anchorfree, Inc. | Method and apparatus for implementing search engine with cost per action revenue model |
US8527510B2 (en) | 2005-05-23 | 2013-09-03 | Monster Worldwide, Inc. | Intelligent job matching system and method |
US7725502B1 (en) * | 2005-06-15 | 2010-05-25 | Google Inc. | Time-multiplexing documents based on preferences or relatedness |
US7818208B1 (en) | 2005-06-28 | 2010-10-19 | Google Inc. | Accurately estimating advertisement performance |
US7788132B2 (en) * | 2005-06-29 | 2010-08-31 | Google, Inc. | Reviewing the suitability of Websites for participation in an advertising network |
US8706546B2 (en) * | 2005-07-18 | 2014-04-22 | Google Inc. | Selecting and/or scoring content-relevant advertisements |
US20070022005A1 (en) * | 2005-07-21 | 2007-01-25 | Hanna Nader G | Method for requesting, displaying, and facilitating placement of an advertisement in a computer network |
US20120226548A1 (en) * | 2005-07-21 | 2012-09-06 | Hanna Nader G | Method for requesting, displaying, and facilitating placement of an advertisement in a computer network |
US9183545B2 (en) * | 2005-09-02 | 2015-11-10 | Yellowpages.Com Llc | Methods and apparatuses for scheduling pay-per-call advertising |
JP5092288B2 (en) * | 2005-09-02 | 2012-12-05 | 三菱化学株式会社 | Adhesive resin composition and laminate |
US8599832B2 (en) | 2005-09-28 | 2013-12-03 | Ingenio Llc | Methods and apparatuses to connect people for real time communications via voice over internet protocol (VOIP) |
US8761154B2 (en) | 2005-09-28 | 2014-06-24 | Ebbe Altberg | Methods and apparatuses to access advertisements through voice over internet protocol (VoIP) applications |
US8571930B1 (en) * | 2005-10-31 | 2013-10-29 | A9.Com, Inc. | Strategies for determining the value of advertisements using randomized performance estimates |
US7529748B2 (en) * | 2005-11-15 | 2009-05-05 | Ji-Rong Wen | Information classification paradigm |
US7603619B2 (en) * | 2005-11-29 | 2009-10-13 | Google Inc. | Formatting a user network site based on user preferences and format performance data |
US9202241B2 (en) | 2005-11-30 | 2015-12-01 | John Nicholas and Kristin Gross | System and method of delivering content based advertising |
US7856445B2 (en) * | 2005-11-30 | 2010-12-21 | John Nicholas and Kristin Gross | System and method of delivering RSS content based advertising |
US8417569B2 (en) | 2005-11-30 | 2013-04-09 | John Nicholas and Kristin Gross Trust | System and method of evaluating content based advertising |
US8924558B2 (en) * | 2005-11-30 | 2014-12-30 | John Nicholas and Kristin Gross | System and method of delivering content based advertising |
US7971137B2 (en) | 2005-12-14 | 2011-06-28 | Google Inc. | Detecting and rejecting annoying documents |
US20070143184A1 (en) * | 2005-12-15 | 2007-06-21 | Madison Avenue Tools, Inc | Method of Facilitating Advertising Research and Use of the Method |
US8571932B2 (en) * | 2005-12-30 | 2013-10-29 | Google Inc. | Using search query information to determine relevant ads for a landing page of an ad |
US20070157228A1 (en) | 2005-12-30 | 2007-07-05 | Jason Bayer | Advertising with video ad creatives |
US10600090B2 (en) | 2005-12-30 | 2020-03-24 | Google Llc | Query feature based data structure retrieval of predicted values |
US20070156887A1 (en) * | 2005-12-30 | 2007-07-05 | Daniel Wright | Predicting ad quality |
US7827060B2 (en) * | 2005-12-30 | 2010-11-02 | Google Inc. | Using estimated ad qualities for ad filtering, ranking and promotion |
US8065184B2 (en) * | 2005-12-30 | 2011-11-22 | Google Inc. | Estimating ad quality from observed user behavior |
US8195657B1 (en) | 2006-01-09 | 2012-06-05 | Monster Worldwide, Inc. | Apparatuses, systems and methods for data entry correlation |
US9183559B2 (en) * | 2006-01-10 | 2015-11-10 | Yellowpages.Com Llc | Systems and methods to convert a call generated from an advertisement |
US7720091B2 (en) * | 2006-01-10 | 2010-05-18 | Utbk, Inc. | Systems and methods to arrange call back |
US9197479B2 (en) * | 2006-01-10 | 2015-11-24 | Yellowpages.Com Llc | Systems and methods to manage a queue of people requesting real time communication connections |
US8681778B2 (en) | 2006-01-10 | 2014-03-25 | Ingenio Llc | Systems and methods to manage privilege to speak |
US8125931B2 (en) * | 2006-01-10 | 2012-02-28 | Utbk, Inc. | Systems and methods to provide availability indication |
US20070165841A1 (en) * | 2006-01-10 | 2007-07-19 | Scott Faber | Systems and methods to provide guidance during a process to establish a communication connection |
US20070192217A1 (en) * | 2006-01-31 | 2007-08-16 | O'kelley Charles Brian | Entity linking in open exchange platforms |
US20070192356A1 (en) * | 2006-01-31 | 2007-08-16 | O'kelley Charles Brian | Open media exchange platforms |
US20070185779A1 (en) * | 2006-01-31 | 2007-08-09 | O'kelley Charles Brian | Open exchange platforms |
US20070198350A1 (en) * | 2006-01-31 | 2007-08-23 | O'kelley Charles Brian | Global constraints in open exchange platforms |
US8185437B2 (en) | 2007-07-12 | 2012-05-22 | Utbk, Inc. | Systems and methods to provide communication connections via partners |
US20070179848A1 (en) * | 2006-02-02 | 2007-08-02 | Microsoft Corporation | Employing customer points to confirm transaction |
US20080140491A1 (en) * | 2006-02-02 | 2008-06-12 | Microsoft Corporation | Advertiser backed compensation for end users |
US20080114651A1 (en) * | 2006-02-02 | 2008-05-15 | Microsoft Corporation | Omaha - user price incentive model |
US20070208611A1 (en) * | 2006-02-17 | 2007-09-06 | Derek Collison | Determining one or more performance metrics related to ads enabled for manual insertion into a document for distribution, and/or using such performance metric or metrics |
WO2007103094A2 (en) * | 2006-03-06 | 2007-09-13 | Yahoo! Inc. | System for serving advertisements over mobile devices |
US8600931B1 (en) | 2006-03-31 | 2013-12-03 | Monster Worldwide, Inc. | Apparatuses, methods and systems for automated online data submission |
US20070255690A1 (en) * | 2006-04-28 | 2007-11-01 | Chi-Chao Chang | System and method for forecasting the performance of advertisements |
WO2007134309A2 (en) * | 2006-05-12 | 2007-11-22 | Monster (California), Inc. | Systems, methods, and apparatuses for advertisement generation, selection and distribution system registration |
US20070271138A1 (en) * | 2006-05-22 | 2007-11-22 | Utbk, Inc. | Systems and methods to connect marketing participants and marketers |
US20070271110A1 (en) * | 2006-05-22 | 2007-11-22 | Utbk, Inc. | Systems and methods to connect customers and marketers |
CN101106563A (en) * | 2006-07-14 | 2008-01-16 | Ge医疗系统环球技术有限公司 | Service system |
US7945660B2 (en) * | 2006-07-26 | 2011-05-17 | Yahoo! Inc. | Time slicing web based advertisements |
US20080046917A1 (en) * | 2006-07-31 | 2008-02-21 | Microsoft Corporation | Associating Advertisements with On-Demand Media Content |
KR100823159B1 (en) * | 2006-08-16 | 2008-04-18 | 엔에이치엔(주) | Method for administering advertiser discriminatively and system for executing the method |
US20080066107A1 (en) * | 2006-09-12 | 2008-03-13 | Google Inc. | Using Viewing Signals in Targeted Video Advertising |
WO2008042812A2 (en) * | 2006-09-29 | 2008-04-10 | Google Inc. | Advertisement campaign simulator |
DE102006046492A1 (en) * | 2006-09-29 | 2008-04-03 | Deutsche Telekom Ag | Data processing device for supporting advertising transactions, has sales and distribution item and media modules connected with each other such that topographic information, advertising media and master data are accessible |
US9317855B2 (en) | 2006-10-24 | 2016-04-19 | Yellowpages.Com Llc | Systems and methods to provide voice connections via local telephone numbers |
US20080104199A1 (en) * | 2006-10-31 | 2008-05-01 | Yahoo! Inc. | Identity and preference management via universal identifier |
US7941436B2 (en) * | 2006-11-30 | 2011-05-10 | Yahoo, Inc. | Keyword bidding strategy for novel concepts |
US8660899B2 (en) * | 2006-12-19 | 2014-02-25 | Yahoo! Inc. | Transferring behavioral profiles anonymously across domains for behavioral targeting |
US8108390B2 (en) | 2006-12-21 | 2012-01-31 | Yahoo! Inc. | System for targeting data to sites referenced on a page |
US20080153520A1 (en) * | 2006-12-21 | 2008-06-26 | Yahoo! Inc. | Targeted short messaging service advertisements |
US20080154717A1 (en) * | 2006-12-22 | 2008-06-26 | Yahoo! Inc. | Publisher scoring |
US9076148B2 (en) * | 2006-12-22 | 2015-07-07 | Yahoo! Inc. | Dynamic pricing models for digital content |
US8451825B2 (en) | 2007-02-22 | 2013-05-28 | Utbk, Llc | Systems and methods to confirm initiation of a callback |
US8843107B2 (en) * | 2007-02-08 | 2014-09-23 | Yp Interactive Llc | Methods and apparatuses to connect users of mobile devices to advertisers |
US8108253B2 (en) * | 2007-02-13 | 2012-01-31 | Google Inc. | Identifying advertising specialist |
US7802280B2 (en) * | 2007-04-03 | 2010-09-21 | Google Inc. | Approving transcoded advertisements in advertisement front end |
US7743394B2 (en) | 2007-04-03 | 2010-06-22 | Google Inc. | Log processing of channel tunes and channel tune times generated from a television processing device |
KR100930787B1 (en) * | 2007-04-04 | 2009-12-09 | 엔에이치엔비즈니스플랫폼 주식회사 | Automatic bidding method and system |
US7856433B2 (en) * | 2007-04-06 | 2010-12-21 | Yahoo! Inc. | Dynamic bid pricing for sponsored search |
US20080256056A1 (en) * | 2007-04-10 | 2008-10-16 | Yahoo! Inc. | System for building a data structure representing a network of users and advertisers |
US8452655B2 (en) | 2007-04-10 | 2013-05-28 | Utbk, Llc | Systems and methods to facilitate real time communications and commerce via a social network |
US7672937B2 (en) * | 2007-04-11 | 2010-03-02 | Yahoo, Inc. | Temporal targeting of advertisements |
US20080262911A1 (en) * | 2007-04-20 | 2008-10-23 | Utbk, Inc. | Methods and Systems to Search in Virtual Reality for Real Time Communications |
US8601386B2 (en) | 2007-04-20 | 2013-12-03 | Ingenio Llc | Methods and systems to facilitate real time communications in virtual reality |
US20080270228A1 (en) * | 2007-04-24 | 2008-10-30 | Yahoo! Inc. | System for displaying advertisements associated with search results |
US9396261B2 (en) | 2007-04-25 | 2016-07-19 | Yahoo! Inc. | System for serving data that matches content related to a search results page |
US8396054B2 (en) * | 2007-05-03 | 2013-03-12 | Utbk, Llc | Systems and methods to facilitate searches of communication references |
US20080306819A1 (en) * | 2007-06-08 | 2008-12-11 | Yahoo! Inc. | System and method for shaping relevance scores for position auctions |
US8681952B2 (en) * | 2007-06-18 | 2014-03-25 | Ingenio Llc | Systems and methods to selectively provide telephonic connections |
US8320368B2 (en) | 2007-06-18 | 2012-11-27 | Utbk, Inc. | Systems and methods to provide communication references based on recommendations to connect people for real time communications |
US20080313083A1 (en) * | 2007-06-18 | 2008-12-18 | Utbk, Inc. | Systems and Methods To Manage Presentations of Advertisements |
US8532276B2 (en) | 2007-06-26 | 2013-09-10 | Ingenio Llc | Systems and methods to provide telephonic connections via concurrent calls |
US20090006311A1 (en) * | 2007-06-28 | 2009-01-01 | Yahoo! Inc. | Automated system to improve search engine optimization on web pages |
US20090012853A1 (en) * | 2007-07-03 | 2009-01-08 | Right Media, Inc. | Inferring legitimacy of advertisement calls |
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 |
US8280018B2 (en) | 2007-07-06 | 2012-10-02 | Utbk, Inc. | Systems and methods to provide information via connections for real time communications between people |
US20090018907A1 (en) * | 2007-07-11 | 2009-01-15 | Right Media, Inc. | Managing impression defaults |
US8635106B2 (en) * | 2007-07-11 | 2014-01-21 | Yahoo! Inc. | System for targeting data to users on mobile devices |
US8423003B2 (en) * | 2007-07-11 | 2013-04-16 | Yahoo! Inc. | System for serving targeted advertisements over mobile messaging services |
US20090037262A1 (en) * | 2007-07-30 | 2009-02-05 | Yahoo! Inc. | System for contextual matching of videos with advertisements |
US20090037375A1 (en) * | 2007-07-30 | 2009-02-05 | Seok Won Cho | Method and apparatus for the placement of advertisements in a search results page |
US20090037263A1 (en) * | 2007-07-30 | 2009-02-05 | Yahoo! Inc. | System for the insertion and control of advertisements in video |
US20090037261A1 (en) * | 2007-07-30 | 2009-02-05 | Seok Won Cho | Method and apparatus for utilizing search result advertisement inventory |
US20090037947A1 (en) * | 2007-07-30 | 2009-02-05 | Yahoo! Inc. | Textual and visual interactive advertisements in videos |
US8724789B2 (en) | 2007-08-06 | 2014-05-13 | Yellow Pages | Systems and methods to connect people for real time communications via directory assistance |
US8069083B2 (en) | 2007-08-08 | 2011-11-29 | Yahoo! Inc. | Pay-per-action system for selling advertisements |
WO2009026395A1 (en) * | 2007-08-20 | 2009-02-26 | Facebook, Inc. | Targeting advertisements in a social network |
US20090055254A1 (en) * | 2007-08-23 | 2009-02-26 | Yahoo! Inc. | Dynamic and interactive advertisements |
KR100910518B1 (en) * | 2007-08-28 | 2009-07-31 | 엔에이치엔비즈니스플랫폼 주식회사 | Method and system for revising quality index and providing advertisement using the revised quality index |
US7908238B1 (en) | 2007-08-31 | 2011-03-15 | Yahoo! Inc. | Prediction engines using probability tree and computing node probabilities for the probability tree |
US20090063277A1 (en) * | 2007-08-31 | 2009-03-05 | Dolby Laboratiories Licensing Corp. | Associating information with a portion of media content |
US20090070207A1 (en) * | 2007-09-10 | 2009-03-12 | Cellfire | Electronic coupon display system and method |
US8295465B2 (en) | 2007-09-25 | 2012-10-23 | Utbk, Inc. | Systems and methods to connect members of a social network for real time communication |
US20090100051A1 (en) * | 2007-10-10 | 2009-04-16 | Yahoo! Inc. | Differentiated treatment of sponsored search results based on search context |
WO2009052419A2 (en) | 2007-10-17 | 2009-04-23 | Google Inc. | Online advertisement effectiveness measurements |
US20090112685A1 (en) * | 2007-10-26 | 2009-04-30 | Google Inc. | User generated advertising |
US9123079B2 (en) | 2007-11-05 | 2015-09-01 | Facebook, Inc. | Sponsored stories unit creation from organic activity stream |
US20120203831A1 (en) | 2011-02-03 | 2012-08-09 | Kent Schoen | Sponsored Stories Unit Creation from Organic Activity Stream |
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 |
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 |
US8275419B2 (en) | 2007-11-14 | 2012-09-25 | Yahoo! Inc. | Advertisements on mobile devices using integrations with mobile applications |
US10600082B1 (en) * | 2007-12-05 | 2020-03-24 | Beats Music, Llc | Advertising selection |
US20090164286A1 (en) * | 2007-12-21 | 2009-06-25 | Yahoo! Inc. | Application program interface and graphical user interface for distributing an advertisement budget in a mobile environment |
US20100312646A1 (en) * | 2007-12-21 | 2010-12-09 | Yahoo! Inc. | System for serving advertisements targeted to geographic areas over mobile devices |
US20090163186A1 (en) * | 2007-12-21 | 2009-06-25 | Yahoo! Inc. | Application program interface and graphical user interface for editorial review of mobile advertisement campaigns |
US8799069B2 (en) * | 2007-12-21 | 2014-08-05 | Yahoo! Inc. | Mobile click fraud prevention |
US20090164299A1 (en) * | 2007-12-21 | 2009-06-25 | Yahoo! Inc. | System for providing a user interface for displaying and creating advertiser defined groups of mobile advertisement campaign information targeted to mobile carriers |
US20090164300A1 (en) * | 2007-12-21 | 2009-06-25 | Yahoo! Inc. | Application program interface and graphical user interface for providing a user interface for targeting mobile advertisements in a mobile marketing environment |
US8196095B2 (en) * | 2008-02-05 | 2012-06-05 | Yahoo! Inc. | Mobile marketing application |
US20090199229A1 (en) * | 2008-02-05 | 2009-08-06 | Yahoo! Inc. | System for providing advertisements across multiple channels |
US20090197581A1 (en) * | 2008-02-05 | 2009-08-06 | Yahoo! Inc. | Multi-version mobile advertisements |
US20090198538A1 (en) * | 2008-02-05 | 2009-08-06 | Yahoo! Inc. | Mobile advertisement filtering |
WO2009120906A1 (en) * | 2008-03-26 | 2009-10-01 | Linkshare Corporation | Systems and methods for customizing an advertisement |
US20090247139A1 (en) * | 2008-03-31 | 2009-10-01 | Yahoo! Inc. | System for adapting online advertising campaigns to incorporate mobile advertising |
US20090248486A1 (en) * | 2008-03-31 | 2009-10-01 | Yahoo! Inc. | System for suggesting categories of mobile keywords to revenue generators |
US20090247192A1 (en) * | 2008-03-31 | 2009-10-01 | Yahoo! Inc. | System for mobile advanced matching |
US8644808B2 (en) | 2008-03-31 | 2014-02-04 | Yahoo! Inc. | System for providing mobile advertisement actions |
US20090254409A1 (en) * | 2008-04-02 | 2009-10-08 | Leonid Kozhukh | System and method for rating and pricing advertising |
US8285737B1 (en) | 2008-04-10 | 2012-10-09 | Google Inc. | Selecting content for publication |
US8965786B1 (en) | 2008-04-18 | 2015-02-24 | Google Inc. | User-based ad ranking |
US9830575B1 (en) | 2008-04-21 | 2017-11-28 | Monster Worldwide, Inc. | Apparatuses, methods and systems for advancement path taxonomy |
US20090300594A1 (en) * | 2008-06-03 | 2009-12-03 | Elephino, Inc. | System and method for content replacement |
US9374460B2 (en) * | 2008-06-30 | 2016-06-21 | Alcatel Lucent | System and method for detecting call-through events for advertising impressions sent to mobile wireless devices |
US8224698B2 (en) * | 2008-07-03 | 2012-07-17 | The Search Agency, Inc. | System and method for determining weighted average success probabilities of internet advertisements |
US8521731B2 (en) | 2008-07-09 | 2013-08-27 | Yahoo! Inc. | Systems and methods for query expansion in sponsored search |
KR101065540B1 (en) * | 2008-07-24 | 2011-09-19 | 아주대학교산학협력단 | Broadcasting method of advertisement |
US20100022222A1 (en) * | 2008-07-28 | 2010-01-28 | Yahoo! Inc. | System for providing search services over mobile messaging |
US20100082438A1 (en) * | 2008-10-01 | 2010-04-01 | Ronnie Jack Garmon | Methods and systems for customer performance scoring |
US20100088166A1 (en) * | 2008-10-06 | 2010-04-08 | Cellfire, Inc. | Electronic Coupons |
WO2010045191A2 (en) * | 2008-10-13 | 2010-04-22 | Vuelogic, Llc | Methods and systems for customer performance scoring |
KR101056214B1 (en) * | 2008-11-04 | 2011-08-11 | 엔에이치엔비즈니스플랫폼 주식회사 | Auction method and system using fixed unit price according to bid and duration based on click or impression, method and system for providing advertisement, and billing method and system |
KR101001803B1 (en) * | 2008-11-04 | 2010-12-15 | 엔에이치엔비즈니스플랫폼 주식회사 | Bidding method and system, advertisement providing method and system and accounting advertising costs method and system using bidding price according to click or display and bidding price according to period |
US20100121679A1 (en) * | 2008-11-13 | 2010-05-13 | Yahoo! Inc. | System and method for representative allocation and pricing of impression segments of online advertisement impressions for advertising campaigns |
US20100125492A1 (en) * | 2008-11-14 | 2010-05-20 | Apple Inc. | System and method for providing contextual advertisements according to dynamic pricing scheme |
US9100223B2 (en) * | 2008-12-01 | 2015-08-04 | Google Inc. | Selecting format for content distribution |
US8255949B1 (en) | 2009-01-07 | 2012-08-28 | Google Inc. | Television program targeting for advertising |
GB2525758A (en) | 2009-03-06 | 2015-11-04 | Appnexus Inc | A computer system |
US10192235B2 (en) * | 2009-05-29 | 2019-01-29 | Red Hat, Inc. | Collaborative optimization of online advertisement return on investment |
US20100332315A1 (en) * | 2009-06-26 | 2010-12-30 | Microsoft Corporation | Generation of impression plans for presenting and sequencing advertisement and sales opportunities along potential routes |
WO2011006281A1 (en) * | 2009-07-17 | 2011-01-20 | Google Inc. | Providing advertisements from related search queries |
US20110047027A1 (en) * | 2009-08-21 | 2011-02-24 | Yahoo! Inc. | System and method for determining whether an ad is ubiquitous |
NZ581850A (en) * | 2009-08-27 | 2011-12-22 | Eyemagnet Ltd | Informational content scheduling system and method |
US8401897B1 (en) | 2009-08-31 | 2013-03-19 | Google Inc. | System and method of displaying ads based on location |
US8676628B2 (en) * | 2009-09-11 | 2014-03-18 | Roil Results Pty Limited | Method and system for determining effectiveness of marketing |
US20110071894A1 (en) * | 2009-09-18 | 2011-03-24 | Diaz Nesamoney | Method and system for serving localized advertisements |
US9015595B2 (en) * | 2010-01-20 | 2015-04-21 | Yahoo! Inc. | Self-targeting local AD system |
US20110197220A1 (en) * | 2010-02-09 | 2011-08-11 | Google Inc. | Customized television advertising |
US20110238496A1 (en) * | 2010-02-23 | 2011-09-29 | Vishal Gurbuxani | Systems and Methods for Generating Data from Mobile Applications and Dynamically Delivering Advertising Based on Generated Data |
US20110231253A1 (en) | 2010-03-16 | 2011-09-22 | Appnexus, Inc. | Cross platform impression inventory classification |
US20110258037A1 (en) * | 2010-04-20 | 2011-10-20 | LifeStreet Corporation | Method and Apparatus for Campaign and Inventory Optimization |
US20110270686A1 (en) * | 2010-04-28 | 2011-11-03 | Microsoft Corporation | Online platform for web advertisement partnerships |
US20110276387A1 (en) * | 2010-05-07 | 2011-11-10 | Efficient Collaborative Retail Marketing Company | Valuation of an advertisement in a printed advertising circular |
US8583483B2 (en) | 2010-05-21 | 2013-11-12 | Microsoft Corporation | Online platform for web advertisement competition |
US20130066708A1 (en) * | 2010-06-04 | 2013-03-14 | Ad Dynamo International (Pty) Ltd. | Online advertising system and a method of operating the same |
US9911141B2 (en) * | 2010-08-01 | 2018-03-06 | Hewlett-Packard Development Company, L.P. | Contextual advertisements within mixed-content page layout model |
US20120123876A1 (en) * | 2010-11-17 | 2012-05-17 | Sreenivasa Prasad Sista | Recommending and presenting advertisements on display pages over networks of communication devices and computers |
US10275782B2 (en) * | 2010-12-28 | 2019-04-30 | Excalibur Ip, Llc | Variation of minimum advertisement relevance quality threshold based on search query attributes |
US9552430B1 (en) | 2010-12-28 | 2017-01-24 | Google Inc. | Identifying resource locations |
US20120253899A1 (en) * | 2011-04-01 | 2012-10-04 | Microsoft Corporation | Table approach for determining quality scores |
US9335883B2 (en) * | 2011-09-08 | 2016-05-10 | Microsoft Technology Licensing, Llc | Presenting search result items having varied prominence |
US8655730B1 (en) * | 2011-09-28 | 2014-02-18 | Amazon Technologies, Inc. | Selecting advertisements based on advertising revenue model |
US10789606B1 (en) * | 2011-11-29 | 2020-09-29 | Google Llc | Generation of an advertisement |
US9922334B1 (en) | 2012-04-06 | 2018-03-20 | Google Llc | Providing an advertisement based on a minimum number of exposures |
US20130290093A1 (en) * | 2012-04-27 | 2013-10-31 | Yahoo! Inc. | System and method for estimating the value of display advertising |
US10776830B2 (en) | 2012-05-23 | 2020-09-15 | Google Llc | Methods and systems for identifying new computers and providing matching services |
US10152723B2 (en) | 2012-05-23 | 2018-12-11 | Google Llc | Methods and systems for identifying new computers and providing matching services |
US9947029B2 (en) | 2012-06-29 | 2018-04-17 | AppNexus Inc. | Auction tiering in online advertising auction exchanges |
US10832313B2 (en) | 2012-09-29 | 2020-11-10 | Xandr Inc. | Systems and methods for serving secure content |
US9514220B1 (en) * | 2012-10-19 | 2016-12-06 | Google Inc. | Generating content placement criteria based on a search query |
US9665890B1 (en) * | 2012-11-21 | 2017-05-30 | Google Inc. | Determining lookback windows |
US10650066B2 (en) | 2013-01-31 | 2020-05-12 | Google Llc | Enhancing sitelinks with creative content |
US10735552B2 (en) | 2013-01-31 | 2020-08-04 | Google Llc | Secondary transmissions of packetized data |
US20140222802A1 (en) * | 2013-02-05 | 2014-08-07 | Facebook, Inc. | Selecting social context for sponsored stories in a social networking system |
US9066122B1 (en) * | 2013-03-08 | 2015-06-23 | Google Inc. | Serving video content segments |
JP2015005175A (en) * | 2013-06-21 | 2015-01-08 | ソニー株式会社 | Information processing device, communication system, and information processing method |
US20150112818A1 (en) | 2013-10-22 | 2015-04-23 | Google Inc. | Content item selection criteria generation |
US10013500B1 (en) * | 2013-12-09 | 2018-07-03 | Amazon Technologies, Inc. | Behavior based optimization for content presentation |
US20150206188A1 (en) * | 2014-01-17 | 2015-07-23 | Panasonic Intellectual Property Corporation Of America | Item presentation method, and information display method |
US20160148251A1 (en) * | 2014-11-24 | 2016-05-26 | Adobe Systems Incorporated | Risk Quantification for Policy Deployment |
US10528986B2 (en) | 2015-01-15 | 2020-01-07 | Xandr Inc. | Modifying bid price for online advertising auction based on user impression frequency |
US10534783B1 (en) | 2016-02-08 | 2020-01-14 | Microstrategy Incorporated | Enterprise search |
US10593329B2 (en) | 2016-12-30 | 2020-03-17 | Google Llc | Multimodal transmission of packetized data |
US10708313B2 (en) | 2016-12-30 | 2020-07-07 | Google Llc | Multimodal transmission of packetized data |
CN112633907A (en) * | 2019-09-24 | 2021-04-09 | 北京沃东天骏信息技术有限公司 | Article management method and device based on multi-objective optimization |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030110499A1 (en) * | 1998-03-04 | 2003-06-12 | United Video Properties, Inc. | Program guide system with targeted advertising |
US6907566B1 (en) * | 1999-04-02 | 2005-06-14 | Overture Services, Inc. | Method and system for optimum placement of advertisements on a webpage |
US7778872B2 (en) * | 2001-09-06 | 2010-08-17 | Google, Inc. | Methods and apparatus for ordering advertisements based on performance information and price information |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
US6026368A (en) | 1995-07-17 | 2000-02-15 | 24/7 Media, Inc. | On-line interactive system and method for providing content and advertising information to a targeted set of viewers |
US6098065A (en) * | 1997-02-13 | 2000-08-01 | Nortel Networks Corporation | Associative 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 |
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 |
US7130808B1 (en) | 1999-12-29 | 2006-10-31 | The Product Engine, Inc. | Method, algorithm, and computer program for optimizing the performance of messages including advertisements in an interactive measurable medium |
US6401075B1 (en) * | 2000-02-14 | 2002-06-04 | Global Network, Inc. | Methods of placing, purchasing and monitoring internet advertising |
US7076443B1 (en) * | 2000-05-31 | 2006-07-11 | International Business Machines Corporation | System and technique for automatically associating related advertisements to individual search results items of a search result set |
US7406434B1 (en) | 2000-12-15 | 2008-07-29 | Carl Meyer | System and method for improving the performance of electronic media advertising campaigns through multi-attribute analysis and optimization |
US20030014331A1 (en) * | 2001-05-08 | 2003-01-16 | Simons Erik Neal | Affiliate marketing search facility for ranking merchants and recording referral commissions to affiliate sites based upon users' on-line activity |
-
2002
- 2002-03-29 US US10/112,654 patent/US7778872B2/en active Active
-
2010
- 2010-07-06 US US12/830,908 patent/US8078494B2/en not_active Expired - Fee Related
-
2011
- 2011-11-30 US US13/308,158 patent/US20120072278A1/en not_active Abandoned
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030110499A1 (en) * | 1998-03-04 | 2003-06-12 | United Video Properties, Inc. | Program guide system with targeted advertising |
US6907566B1 (en) * | 1999-04-02 | 2005-06-14 | Overture Services, Inc. | Method and system for optimum placement of advertisements on a webpage |
US7778872B2 (en) * | 2001-09-06 | 2010-08-17 | Google, Inc. | Methods and apparatus for ordering advertisements based on performance information and price information |
US8078494B2 (en) * | 2002-03-29 | 2011-12-13 | Google, Inc. | Methods and apparatus for ordering advertisements based on performance information and price information |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120215645A1 (en) * | 2010-08-25 | 2012-08-23 | Nhn Business Platform Corp. | Advertisement system and method based on traffic quality |
JP2012048719A (en) * | 2010-08-25 | 2012-03-08 | Nhn Business Platform Corp | Advertisement system and method based on quality of traffic |
US20140214545A1 (en) * | 2013-01-31 | 2014-07-31 | Hao Zhang | Ranking of advertisements for display on a mobile device |
WO2014120394A1 (en) * | 2013-01-31 | 2014-08-07 | Facebook, Inc. | Ranking of advertisements for display on a mobile device |
US8682721B1 (en) * | 2013-06-13 | 2014-03-25 | Google Inc. | Methods and systems for improving bid efficiency of a content provider |
US8719089B1 (en) * | 2013-06-13 | 2014-05-06 | Google Inc. | Methods and systems for improving bid efficiency of a content provider |
US11910066B2 (en) * | 2013-10-25 | 2024-02-20 | Turner Broadcasting System, Inc. | Providing interactive advertisements |
US11765438B2 (en) | 2013-10-25 | 2023-09-19 | Turner Broadcasting System, Inc. | Providing interactive advertisements |
US10356466B1 (en) | 2014-02-13 | 2019-07-16 | Google Llc | Providing selectable content creator controls in conjunction with sponsored media content items |
US9602566B1 (en) * | 2014-02-13 | 2017-03-21 | Google Inc. | Providing selectable content creator controls in conjunction with sponsored media content items |
WO2016016904A1 (en) * | 2014-07-29 | 2016-02-04 | Gupta SIDDHANT | Method and system for performing online advertisement monitoring |
JP2017525048A (en) * | 2014-07-29 | 2017-08-31 | グプタ シッダーント | Method and system for performing online advertising monitoring |
CN106716474A (en) * | 2014-07-29 | 2017-05-24 | 希达·古普塔 | Method and system for performing online advertisement monitoring |
US11144950B2 (en) | 2016-01-12 | 2021-10-12 | Tencent Technology (Shenzhen) Company Limited | Information delivery method and apparatus, server, and storage medium |
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US20030046161A1 (en) | 2003-03-06 |
US20100274660A1 (en) | 2010-10-28 |
US8078494B2 (en) | 2011-12-13 |
US7778872B2 (en) | 2010-08-17 |
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