CA2602852A1 - Method and apparatus for customizing the display of multidimensional data - Google Patents
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
Abstract
A Tag Cloud Customizer (TCC) provides an interactive legend and a tag cloud generator that allows a user to customize a tag cloud. The interactive legend allows users to map custom display characteristics to a plurality of tag attributes. The tag cloud generator creates a custom tag cloud using the custom display characteristics. The user can also sort the order of tags in the tag cloud by any of the plurality of tag attributes. In one embodiment of TCC, the user can define a custom tag attribute.
Description
METHOD AND APPARATUS FOR CUSTOMIZING THE DISPLAY OF
MULTIDIMENSIONAL DATA
FIELD OF THE INVENTION
The present invention relates generally to data processing and relates specifically to customizing the display of multidimensional data.
BACKGROUND OF THE INVENTION
A "metatag," referred to herein as a "tag," is a keyword or descriptive term associated with an item as means of classification. Tags are typically used in the metadata of items such as computer files, web pages, digital images, and internet bookmarks. In a typical web page, for example, the page creator adds one or more tags associated with the web page contents. A web page displaying vacation photos from Europe might have tags such as "Europe," "vacation," "Paris," and "pictures."
Once the web page is published on the Internet, an automated classification system, such as GOOGLE, may index the web page using the tags as search terms. The indexing software will provide links to the web page based on the keyword tag. Some web-based search engines and classification systems specialize in specific content. FLICKR
(www.flickr.com) is a popular digital photo sharing website that allows users to search photographs by keyword. These specialized websites amass collections of tags, allowing for multiple "browseable paths" for accessing the web page contents.
Browseable paths are generated by the results of a keyword search. For example, if a web user wants to find a picture of buildings in Paris, the user can go to FLICKR and search for images that users have tagged with the words "Paris" and "buildings."
FLICKR generates a list of links to indexed pictures of buildings in Paris.
A "tag cloud" is a visual depiction of tags and tag attributes. One widely known tag cloud appears on FLICKR. Tag clouds have been popularized by TECHNORATI, an Internet search engine used for searching blogs. In the most common form, tag clouds display popular tags (frequently used tags) in a larger font while listing the tags in alphabetical order. Thus, manually searching tags by both name and popularity is possible. Usually, the web user has an option to sort the list by popularity -which will put the largest text tags at the top of the list, and the smallest at the end of the list.
Selecting a single tag from a tag cloud by clicking on the tag with a mouse pointer leads the user to a collection of web pages or other items associated with that tag.
FIG. 1. shows an exemplary Internet browser 100 displaying tag cloud 110. Tag cloud 110 lists a series of tags in alphabetical order. Popular tags are displayed with a larger font, and less popular tags are displayed in a smaller font. Legend 120 explains the sort criteria and tag attributes used by the tag cloud. Clicking on the underlined "popularity" hyperlink in legend 120 sorts the tag cloud by popularity.
Tag clouds have evolved to display multiple tag attributes at the same time.
Tag clouds use colors or other display characteristics in addition to font size for indicating tag attributes. For example, different colors can indicate how recently an item related to the tag has been updated, where red tags represent recently updated items, and blue tags represent older items. "Hover effects" have been added to tag clouds, including highlighting a tag under a mouse pointer, and displaying the corresponding URL
or a comment related to the tag in a "mouse-over tool-tip." Mouse-over tool-tips are small pop-up windows that appear when a mouse pointer hovers over an active region of a window, and that generally display information related to the active region.
Although these enhancements increase the amount of information communicated by a tag cloud, only the creator of the tag cloud has control over the displayed tag attributes. At most, users can only change the sort criteria from an alphabetical tag attribute to another displayed tag attribute such as most popular or most recently updated.
A need exists for method of allowing tag cloud users to select preferred tag attributes and customize how the tag attributes are displayed. These and other objects of the invention will be apparent to those skilled in the art from the following detailed description of a preferred embodiment of the invention.
SUMMARY OF THE INVENTION
A Tag Cloud Customizer (TCC) provides an interactive legend and a tag cloud generator that enables a user to customize a tag cloud. The interactive legend allows users to map custom display characteristics to a plurality of tag attributes.
The tag cloud generator creates a custom tag cloud using the custom display characteristics.
The user can also sort the order of tags in the tag cloud by any of the plurality of tag attributes. In one embodiment of TCC, the user can define a custom tag attribute.
BRIEF DESCRIPTION OF DRAWINGS
The novel features believed characteristic of the invention are set forth in the appended claims. The invention itself, however, as well as a preferred mode of use, further objectives and advantages thereof, will be understood best by reference to the following detailed description of an illustrative embodiment when read in conjunction with the accompanying drawings, wherein:
FIG. 1 is an exemplary web page with a prior art tag cloud;
FIG. 2 is an exemplary computer network;
FIG. 3 describes programs and files in a memory on a computer;
FIG. 4 is a flowchart of a legend component;
FIG. 5 is a flowchart of a tag cloud generator; and FIG. 6 is an exemplary web page with a customized tag cloud.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
The principles of the present invention are applicable to a variety of computer hardware and software configurations. The term "computer hardware" or "hardware," as used herein, refers to any machine or apparatus that is capable of accepting, performing logic operations on, storing, or displaying data, and includes without limitation processors and memory. The term "computer software" or "software,"
refers to any set of instructions operable to cause computer hardware to perform an operation.
A "computer," as that term is used herein, includes without limitation any useful combination of hardware and software, and a "computer program" or "program"
includes without limitation any software operable to cause computer hardware to accept, perform logic operations on, store, or display data. A computer program may, and often is, comprised of a plurality of smaller programming units, including without limitation subroutines, modules, functions, methods, and procedures. Thus, the functions of the present invention may be distributed among a plurality of computers and computer programs. The invention is described best, though, as a single computer program that configures and enables one or more general-purpose computers to implement the novel aspects of the invention. For illustrative purposes, the inventive computer program will be referred to as the Tag Cloud Customizer (TCC).
Additionally, the TCC is described below with reference to an exemplary network of hardware devices, as depicted in FIG. 2. A "network" comprises any number of hardware devices coupled to and in communication with each other through a communications medium, such as the Internet. A "communications medium"
includes without limitation any physical, optical, electromagnetic, or other medium through which hardware or software can transmit data. For descriptive purposes, exemplary network 200 has only a limited number of nodes, including workstation computer 205, workstation computer 210, server computer 215, and persistent storage 220.
Network connection 225 comprises all hardware, software, and communications media necessary to enable communication between network nodes 205-220. Unless otherwise indicated in context below, all network nodes use publicly available protocols or messaging services to communicate with each other through network connection 225.
TCC 300 typically is stored in a memory, represented schematically as memory 320 in FIG. 3. The term "memory," as used herein, includes without limitation, any volatile or persistent medium, such as an electrical circuit, magnetic disk, or optical disk, in which a computer can store data or software for any duration. A single memory may encompass and be distributed across a plurality of media. Further TCC 300 may reside in more than one memory distributed across different computers, servers, logical partitions, or other hardware devices. The elements depicted in memory 320 may be located in or distributed across separate memories in any combination, and TCC
may be adapted to identify, locate and access any of the elements and coordinate actions, if any, by the distributed elements. Thus, FIG. 3 is included merely as a descriptive expedient and does not necessarily reflect any particular physical embodiment of memory 320. As depicted in FIG. 3, though, memory 320 may include additional data and programs. Of particular import to TCC 200, memory 320 may include web browser 330, tag cloud web page 340, web indexing and hosting application 350, tag table 360, style sheet 370, and indexed web pages 380 with which TCC 300 interacts. TCC 300 comprises two components: interactive legend component 400 and tag cloud generator 500. In a preferred embodiment, the components of TCC
300 are a script residing on tag cloud web page 340.
A user of web browser 330 accesses tag cloud web page 340 hosted by web indexing and hosting application 350. Although web indexing and hosting application 350 is shown here as a single application, the indexing functions and hosting functions can be, and often are, separate applications. The indexing function of web indexing and hosting application 350 collects tags from indexed web pages 380, and stores the tags in tag table 360. Additionally, web indexing and hosting application 350 collects other statistical information related to indexed web pages 360, such as how often a web page is accessed and when a web page is last accessed or updated. The collected information is stored in tag table 360 with the corresponding tags. The tag cloud on tag cloud web page 340 is generated by TCC 300, using tags and attributes from tag table 360 and display characteristics from style sheet 370. Style sheet 370 contains default display characteristics for generating the tag cloud, so that whenever tag cloud web page 340 is accessed, a default tag cloud is generated. TCC 300 sorts tag cloud alphabetically by default.
A shown by FIG. 4, interactive legend component 400 starts whenever a user of web browser 330 accesses tag cloud web page 340 (410). Interactive legend component 400 accesses style sheet 370 (412) and publishes an interactive legend in a frame of tag cloud web page 340 describing the current display characteristics for the tag cloud displayed in another frame of tag cloud web page 340 (414). The interactive legend lists available tag attributes, as indexed by web indexing and hosting application 350, such as popularity, last update or age of the item, frequency of updates, most recently accessed, size of the item, and whether there have been comments or replies related to the item. Interactive legend component 400 also provides a means for a user to customize display characteristic for each tag attribute. For example, next to the popularity tag attribute, the interactive legend may have a drop down menu allowing the user to select from a list of display characteristics such as font color, font size, transparency/opacity, background color, borders, motion, underlines, italics, strikethroughs, 3D depth, or shadowing. The user can choose to change how a tag attribute is displayed (420) by selecting a display characteristic from the drop down menu. Additionally, the user may choose "none" if the user does not want a specific tag attribute displayed in the tag cloud. If a tag attribute's display characteristic is changed, interactive legend component 400 maps the selected display characteristic to the tag attribute (422), saves the mapping to style sheet 370 (424), and initiates tag cloud generator 500 (426). Tag cloud generator 500 refreshes the tag cloud displayed on web page 340 to reflect the changes. Interactive legend component 400 also provides a means for the user to sort the tag cloud by tag attribute. For example, the interactive legend may have a "sort by" drop down menu listing all available tag attributes. The user can choose to change the sort criteria (430) by selecting a tag attribute from the "sort by" drop down menu. If the sort criteria is changed, interactive legend component 400 sets a sort parameter (432), saves the sort parameter to style sheet 370 (434), and initiates tag cloud generator 500 (436). Tag cloud generator 500 refreshes the tag cloud displayed on web page 340 to reflect the changes. Interactive legend component 400 determines if tag cloud web page 340 is open in web browser 330 (450).
Interactive legend component 400 provides customizable display and sort options in an interactive legend (steps 414 - 436) for as long as tag cloud web page 340 is open in web browser 330. If web browser 330 closes or leaves tag cloud web page 340, interactive legend component 400 stops (460). In one embodiment of interactive legend component 400, users can create a customized tag attribute. The custom tag attribute may be, for example, a set of preferred tags that have been updated within the last day.
In another embodiment of interactive legend component 400, users can customize the interactive legend by repositioning, adding, or removing tag attributes from the displayed interactive legend.
A shown by FIG. 5, tag cloud generator 500 starts whenever tag cloud web page 340 is first opened by web browser 330 or when initiated by interactive legend component 400 (510). Tag cloud generator 500 accesses tag table 360 and style sheet 370 (512). Tag cloud generator collects tag attribute statistics from tag table 360 (514), and sets each tag's display characteristic per the settings from style sheet 370 (516).
Tag cloud generator 500 orders the tags per the sort parameter from style sheet 370 (518). Tag cloud generator 500 publishes the tag cloud in a frame of tag cloud web page 340 (520) and stops (522). The published tag cloud may include other detailed information related to each tag, that can viewed with hover effects, such as a mouse-over tool-tip, or an information line at the bottom of the web browser 330 window. The detailed information may include raw data associated with the tag, such as the actual number of times an item has been accessed, or the date and time an item was last updated.
FIG. 6 shows Internet browser 600 with exemplary customized tag cloud 610 generated by TCC 300. Legend 620 lists tag attributes and corresponding display characteristics. Numeral 621 in legend 620 indicates that the "popularity" tag attribute is represented by the font size display characteristic. Thus, the "car" tag is more popular than the "cat" tag, which, in turn, is more popular than the "chicago" tag in tag cloud 610. Numeral 622 in legend 620 indicates that the "recent activity" tag attribute is represented by a highlighted font display characteristic. Thus the "newyork"
tag has been accessed more recently than the "night" tag in tag cloud 610. Numeral 623 in legend 620 indicates that the "age" tag attribute is represented by the display characteristic of opacity. Thus, the more opaque "dog" tag is newer than the partially translucent "december" tag in tag cloud 610. Numeral 624 in legend 620 indicates that the "contains replies" tag attribute is represented by an underscore display characteristic. Thus, the "friends" tag has replies associated with the tag, but the "baby"
tag in tag cloud 610 does not have replies associated with the tag. Numeral 628 in legend 620 indicates a "sort by" drop down menu, showing that tag cloud 610 is sorted alphabetically. Numeral 629 in legend 620 indicates a "custom" tag attribute drop down menu from which a user may create an attribute to display in tag cloud 610.
The custom tag attribute is not selected, and the display characteristic is set to none, so the custom tag attribute is not represented in tag cloud 610. Mouse cursor 630 is hovering over the "paris" tag in tag cloud 610. Mouse-over tool-tip 640 shows tag attribute details related to the "paris" tag.
A preferred form of the invention has been shown in the drawings and described above, but variations in the preferred form will be apparent to those skilled in the art.
Particularly, TCC 300 can be adapted to generate custom tag clouds, not just for web pages, but for any item with tags, such as computer files, database tables, electronic documents, audio and video files, digital images, blog entries, and internet bookmarks.
The preceding description is for illustration purposes only, and the invention should not be construed as limited to the specific form shown and described. The scope of the invention should be limited only by the language of the following claims.
MULTIDIMENSIONAL DATA
FIELD OF THE INVENTION
The present invention relates generally to data processing and relates specifically to customizing the display of multidimensional data.
BACKGROUND OF THE INVENTION
A "metatag," referred to herein as a "tag," is a keyword or descriptive term associated with an item as means of classification. Tags are typically used in the metadata of items such as computer files, web pages, digital images, and internet bookmarks. In a typical web page, for example, the page creator adds one or more tags associated with the web page contents. A web page displaying vacation photos from Europe might have tags such as "Europe," "vacation," "Paris," and "pictures."
Once the web page is published on the Internet, an automated classification system, such as GOOGLE, may index the web page using the tags as search terms. The indexing software will provide links to the web page based on the keyword tag. Some web-based search engines and classification systems specialize in specific content. FLICKR
(www.flickr.com) is a popular digital photo sharing website that allows users to search photographs by keyword. These specialized websites amass collections of tags, allowing for multiple "browseable paths" for accessing the web page contents.
Browseable paths are generated by the results of a keyword search. For example, if a web user wants to find a picture of buildings in Paris, the user can go to FLICKR and search for images that users have tagged with the words "Paris" and "buildings."
FLICKR generates a list of links to indexed pictures of buildings in Paris.
A "tag cloud" is a visual depiction of tags and tag attributes. One widely known tag cloud appears on FLICKR. Tag clouds have been popularized by TECHNORATI, an Internet search engine used for searching blogs. In the most common form, tag clouds display popular tags (frequently used tags) in a larger font while listing the tags in alphabetical order. Thus, manually searching tags by both name and popularity is possible. Usually, the web user has an option to sort the list by popularity -which will put the largest text tags at the top of the list, and the smallest at the end of the list.
Selecting a single tag from a tag cloud by clicking on the tag with a mouse pointer leads the user to a collection of web pages or other items associated with that tag.
FIG. 1. shows an exemplary Internet browser 100 displaying tag cloud 110. Tag cloud 110 lists a series of tags in alphabetical order. Popular tags are displayed with a larger font, and less popular tags are displayed in a smaller font. Legend 120 explains the sort criteria and tag attributes used by the tag cloud. Clicking on the underlined "popularity" hyperlink in legend 120 sorts the tag cloud by popularity.
Tag clouds have evolved to display multiple tag attributes at the same time.
Tag clouds use colors or other display characteristics in addition to font size for indicating tag attributes. For example, different colors can indicate how recently an item related to the tag has been updated, where red tags represent recently updated items, and blue tags represent older items. "Hover effects" have been added to tag clouds, including highlighting a tag under a mouse pointer, and displaying the corresponding URL
or a comment related to the tag in a "mouse-over tool-tip." Mouse-over tool-tips are small pop-up windows that appear when a mouse pointer hovers over an active region of a window, and that generally display information related to the active region.
Although these enhancements increase the amount of information communicated by a tag cloud, only the creator of the tag cloud has control over the displayed tag attributes. At most, users can only change the sort criteria from an alphabetical tag attribute to another displayed tag attribute such as most popular or most recently updated.
A need exists for method of allowing tag cloud users to select preferred tag attributes and customize how the tag attributes are displayed. These and other objects of the invention will be apparent to those skilled in the art from the following detailed description of a preferred embodiment of the invention.
SUMMARY OF THE INVENTION
A Tag Cloud Customizer (TCC) provides an interactive legend and a tag cloud generator that enables a user to customize a tag cloud. The interactive legend allows users to map custom display characteristics to a plurality of tag attributes.
The tag cloud generator creates a custom tag cloud using the custom display characteristics.
The user can also sort the order of tags in the tag cloud by any of the plurality of tag attributes. In one embodiment of TCC, the user can define a custom tag attribute.
BRIEF DESCRIPTION OF DRAWINGS
The novel features believed characteristic of the invention are set forth in the appended claims. The invention itself, however, as well as a preferred mode of use, further objectives and advantages thereof, will be understood best by reference to the following detailed description of an illustrative embodiment when read in conjunction with the accompanying drawings, wherein:
FIG. 1 is an exemplary web page with a prior art tag cloud;
FIG. 2 is an exemplary computer network;
FIG. 3 describes programs and files in a memory on a computer;
FIG. 4 is a flowchart of a legend component;
FIG. 5 is a flowchart of a tag cloud generator; and FIG. 6 is an exemplary web page with a customized tag cloud.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
The principles of the present invention are applicable to a variety of computer hardware and software configurations. The term "computer hardware" or "hardware," as used herein, refers to any machine or apparatus that is capable of accepting, performing logic operations on, storing, or displaying data, and includes without limitation processors and memory. The term "computer software" or "software,"
refers to any set of instructions operable to cause computer hardware to perform an operation.
A "computer," as that term is used herein, includes without limitation any useful combination of hardware and software, and a "computer program" or "program"
includes without limitation any software operable to cause computer hardware to accept, perform logic operations on, store, or display data. A computer program may, and often is, comprised of a plurality of smaller programming units, including without limitation subroutines, modules, functions, methods, and procedures. Thus, the functions of the present invention may be distributed among a plurality of computers and computer programs. The invention is described best, though, as a single computer program that configures and enables one or more general-purpose computers to implement the novel aspects of the invention. For illustrative purposes, the inventive computer program will be referred to as the Tag Cloud Customizer (TCC).
Additionally, the TCC is described below with reference to an exemplary network of hardware devices, as depicted in FIG. 2. A "network" comprises any number of hardware devices coupled to and in communication with each other through a communications medium, such as the Internet. A "communications medium"
includes without limitation any physical, optical, electromagnetic, or other medium through which hardware or software can transmit data. For descriptive purposes, exemplary network 200 has only a limited number of nodes, including workstation computer 205, workstation computer 210, server computer 215, and persistent storage 220.
Network connection 225 comprises all hardware, software, and communications media necessary to enable communication between network nodes 205-220. Unless otherwise indicated in context below, all network nodes use publicly available protocols or messaging services to communicate with each other through network connection 225.
TCC 300 typically is stored in a memory, represented schematically as memory 320 in FIG. 3. The term "memory," as used herein, includes without limitation, any volatile or persistent medium, such as an electrical circuit, magnetic disk, or optical disk, in which a computer can store data or software for any duration. A single memory may encompass and be distributed across a plurality of media. Further TCC 300 may reside in more than one memory distributed across different computers, servers, logical partitions, or other hardware devices. The elements depicted in memory 320 may be located in or distributed across separate memories in any combination, and TCC
may be adapted to identify, locate and access any of the elements and coordinate actions, if any, by the distributed elements. Thus, FIG. 3 is included merely as a descriptive expedient and does not necessarily reflect any particular physical embodiment of memory 320. As depicted in FIG. 3, though, memory 320 may include additional data and programs. Of particular import to TCC 200, memory 320 may include web browser 330, tag cloud web page 340, web indexing and hosting application 350, tag table 360, style sheet 370, and indexed web pages 380 with which TCC 300 interacts. TCC 300 comprises two components: interactive legend component 400 and tag cloud generator 500. In a preferred embodiment, the components of TCC
300 are a script residing on tag cloud web page 340.
A user of web browser 330 accesses tag cloud web page 340 hosted by web indexing and hosting application 350. Although web indexing and hosting application 350 is shown here as a single application, the indexing functions and hosting functions can be, and often are, separate applications. The indexing function of web indexing and hosting application 350 collects tags from indexed web pages 380, and stores the tags in tag table 360. Additionally, web indexing and hosting application 350 collects other statistical information related to indexed web pages 360, such as how often a web page is accessed and when a web page is last accessed or updated. The collected information is stored in tag table 360 with the corresponding tags. The tag cloud on tag cloud web page 340 is generated by TCC 300, using tags and attributes from tag table 360 and display characteristics from style sheet 370. Style sheet 370 contains default display characteristics for generating the tag cloud, so that whenever tag cloud web page 340 is accessed, a default tag cloud is generated. TCC 300 sorts tag cloud alphabetically by default.
A shown by FIG. 4, interactive legend component 400 starts whenever a user of web browser 330 accesses tag cloud web page 340 (410). Interactive legend component 400 accesses style sheet 370 (412) and publishes an interactive legend in a frame of tag cloud web page 340 describing the current display characteristics for the tag cloud displayed in another frame of tag cloud web page 340 (414). The interactive legend lists available tag attributes, as indexed by web indexing and hosting application 350, such as popularity, last update or age of the item, frequency of updates, most recently accessed, size of the item, and whether there have been comments or replies related to the item. Interactive legend component 400 also provides a means for a user to customize display characteristic for each tag attribute. For example, next to the popularity tag attribute, the interactive legend may have a drop down menu allowing the user to select from a list of display characteristics such as font color, font size, transparency/opacity, background color, borders, motion, underlines, italics, strikethroughs, 3D depth, or shadowing. The user can choose to change how a tag attribute is displayed (420) by selecting a display characteristic from the drop down menu. Additionally, the user may choose "none" if the user does not want a specific tag attribute displayed in the tag cloud. If a tag attribute's display characteristic is changed, interactive legend component 400 maps the selected display characteristic to the tag attribute (422), saves the mapping to style sheet 370 (424), and initiates tag cloud generator 500 (426). Tag cloud generator 500 refreshes the tag cloud displayed on web page 340 to reflect the changes. Interactive legend component 400 also provides a means for the user to sort the tag cloud by tag attribute. For example, the interactive legend may have a "sort by" drop down menu listing all available tag attributes. The user can choose to change the sort criteria (430) by selecting a tag attribute from the "sort by" drop down menu. If the sort criteria is changed, interactive legend component 400 sets a sort parameter (432), saves the sort parameter to style sheet 370 (434), and initiates tag cloud generator 500 (436). Tag cloud generator 500 refreshes the tag cloud displayed on web page 340 to reflect the changes. Interactive legend component 400 determines if tag cloud web page 340 is open in web browser 330 (450).
Interactive legend component 400 provides customizable display and sort options in an interactive legend (steps 414 - 436) for as long as tag cloud web page 340 is open in web browser 330. If web browser 330 closes or leaves tag cloud web page 340, interactive legend component 400 stops (460). In one embodiment of interactive legend component 400, users can create a customized tag attribute. The custom tag attribute may be, for example, a set of preferred tags that have been updated within the last day.
In another embodiment of interactive legend component 400, users can customize the interactive legend by repositioning, adding, or removing tag attributes from the displayed interactive legend.
A shown by FIG. 5, tag cloud generator 500 starts whenever tag cloud web page 340 is first opened by web browser 330 or when initiated by interactive legend component 400 (510). Tag cloud generator 500 accesses tag table 360 and style sheet 370 (512). Tag cloud generator collects tag attribute statistics from tag table 360 (514), and sets each tag's display characteristic per the settings from style sheet 370 (516).
Tag cloud generator 500 orders the tags per the sort parameter from style sheet 370 (518). Tag cloud generator 500 publishes the tag cloud in a frame of tag cloud web page 340 (520) and stops (522). The published tag cloud may include other detailed information related to each tag, that can viewed with hover effects, such as a mouse-over tool-tip, or an information line at the bottom of the web browser 330 window. The detailed information may include raw data associated with the tag, such as the actual number of times an item has been accessed, or the date and time an item was last updated.
FIG. 6 shows Internet browser 600 with exemplary customized tag cloud 610 generated by TCC 300. Legend 620 lists tag attributes and corresponding display characteristics. Numeral 621 in legend 620 indicates that the "popularity" tag attribute is represented by the font size display characteristic. Thus, the "car" tag is more popular than the "cat" tag, which, in turn, is more popular than the "chicago" tag in tag cloud 610. Numeral 622 in legend 620 indicates that the "recent activity" tag attribute is represented by a highlighted font display characteristic. Thus the "newyork"
tag has been accessed more recently than the "night" tag in tag cloud 610. Numeral 623 in legend 620 indicates that the "age" tag attribute is represented by the display characteristic of opacity. Thus, the more opaque "dog" tag is newer than the partially translucent "december" tag in tag cloud 610. Numeral 624 in legend 620 indicates that the "contains replies" tag attribute is represented by an underscore display characteristic. Thus, the "friends" tag has replies associated with the tag, but the "baby"
tag in tag cloud 610 does not have replies associated with the tag. Numeral 628 in legend 620 indicates a "sort by" drop down menu, showing that tag cloud 610 is sorted alphabetically. Numeral 629 in legend 620 indicates a "custom" tag attribute drop down menu from which a user may create an attribute to display in tag cloud 610.
The custom tag attribute is not selected, and the display characteristic is set to none, so the custom tag attribute is not represented in tag cloud 610. Mouse cursor 630 is hovering over the "paris" tag in tag cloud 610. Mouse-over tool-tip 640 shows tag attribute details related to the "paris" tag.
A preferred form of the invention has been shown in the drawings and described above, but variations in the preferred form will be apparent to those skilled in the art.
Particularly, TCC 300 can be adapted to generate custom tag clouds, not just for web pages, but for any item with tags, such as computer files, database tables, electronic documents, audio and video files, digital images, blog entries, and internet bookmarks.
The preceding description is for illustration purposes only, and the invention should not be construed as limited to the specific form shown and described. The scope of the invention should be limited only by the language of the following claims.
Claims (20)
1. A computer implemented process for customizing the display of a tag cloud, the computer implemented process comprising:
displaying an interactive legend, wherein a user can map display characteristics to a plurality of tag attributes; and generating a tag cloud, wherein each tag is displayed using the mapped display characteristics.
displaying an interactive legend, wherein a user can map display characteristics to a plurality of tag attributes; and generating a tag cloud, wherein each tag is displayed using the mapped display characteristics.
2. The computer implemented process of Claim 1 wherein the display characteristics comprise: font color, font size, transparency, opacity, background color, borders, motion, underlines, italics, strikethroughs, three dimensional representation of depth, shadowing and no display.
3. The computer implemented process of Claim 1 wherein the plurality of tag attributes comprise: popularity of an item, last update of an item, frequency of updates to an item, age of an item, size of an item, and whether there have been comments or replies related to an item.
4. The computer implemented process of Claim 3 where the plurality of tag attributes further comprise: a custom, user defined tag attribute.
5. The computer implemented process of Claim 1 further comprising: setting a sort criteria using one of the plurality of tag attributes and displaying the tag cloud with the tags ordered based upon the sort criteria.
6. The computer implemented process of Claim 1 wherein the user can rearrange, add or remove tag attributes from the interactive legend.
7. The computer implemented process of Claim 1 further comprising: displaying tag attribute details whenever a mouse cursor hovers over a tag in the tag cloud.
8. An apparatus for customizing the display of a tag cloud, the apparatus comprising:
a processor;
a memory connected to the processor;
an indexing application running in the memory, operable to extract tags from a collection of items and collect usage statistics related to each item;
a tag table file in the memory containing the indexed tags and statistics; and a tag cloud customizer program in the memory operable to display an interactive legend, wherein a user can map display characteristics to a plurality of tag attributes and generate a tag cloud, wherein each tag is displayed using the mapped display characteristics.
a processor;
a memory connected to the processor;
an indexing application running in the memory, operable to extract tags from a collection of items and collect usage statistics related to each item;
a tag table file in the memory containing the indexed tags and statistics; and a tag cloud customizer program in the memory operable to display an interactive legend, wherein a user can map display characteristics to a plurality of tag attributes and generate a tag cloud, wherein each tag is displayed using the mapped display characteristics.
9. The apparatus of Claim 8 wherein the display characteristics comprise: font color, font size, transparency, opacity, background color, borders, motion, underlines, italics, strikethroughs, three dimensional representation of depth, shadowing and no display.
10. The apparatus of Claim 8 wherein the plurality of tag attributes comprise:
popularity of an item, last update of an item, frequency of updates to an item, age of an item, size of an item, and whether there have been comments or replies related to an item.
popularity of an item, last update of an item, frequency of updates to an item, age of an item, size of an item, and whether there have been comments or replies related to an item.
11. The apparatus of Claim 10 where the plurality of tag attributes further comprise: a custom, user defined tag attribute.
12. The apparatus of Claim 8 wherein the tag cloud customizer program in the memory is further operable to set a sort criteria using one of the plurality of tag attributes and display the tag cloud with the tags ordered based upon the sort criteria.
13. The apparatus of Claim 8 wherein the user can rearrange, add or remove tag attributes from the interactive legend.
14. The apparatus of Claim 8 wherein the tag cloud customizer program in the memory is further operable to save the mapped display characteristics to a style sheet file in the memory, and generate the tag cloud based upon the tag table file and the style sheet file.
15. A computer readable memory containing a plurality of instructions to cause a computer to customize the display of a tag cloud, the plurality of instructions comprising:
a first instruction to display an interactive legend containing a list of display characteristics and a list of tag attributes;
a second instruction to read a user defined mapping of display characteristics to a plurality of tag attributes; and a third instruction to generate a tag cloud, wherein each tag is displayed using the mapped display characteristics.
a first instruction to display an interactive legend containing a list of display characteristics and a list of tag attributes;
a second instruction to read a user defined mapping of display characteristics to a plurality of tag attributes; and a third instruction to generate a tag cloud, wherein each tag is displayed using the mapped display characteristics.
16. The computer readable memory of Claim 15 wherein the display characteristics comprise: font color, font size, transparency, opacity, background color, borders, motion, underlines, italics, strikethroughs, three dimensional representation of depth, shadowing and no display.
17. The computer readable memory of Claim 15 wherein the plurality of tag attributes comprise: popularity of an item, frequency of updates to an item, how recently an item was accessed, age of an item, size of an item, and whether there have been comments or replies related to an item.
18. The computer readable memory of Claim 17 where the plurality of tag attributes further comprise: a custom, user defined tag attribute.
19. The computer readable memory of Claim 15 further comprising: an instruction to set a sort criteria using one of the plurality of tag attributes and an instruction to display the tag cloud with the tags ordered based upon the sort criteria.
20. The computer readable memory of Claim 15 further comprising: an instruction to allow the user to rearrange, add or remove tag attributes from the interactive legend.
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Families Citing this family (143)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8825682B2 (en) | 2006-07-31 | 2014-09-02 | Ricoh Co., Ltd. | Architecture for mixed media reality retrieval of locations and registration of images |
| US8332401B2 (en) | 2004-10-01 | 2012-12-11 | Ricoh Co., Ltd | Method and system for position-based image matching in a mixed media environment |
| US8335789B2 (en) * | 2004-10-01 | 2012-12-18 | Ricoh Co., Ltd. | Method and system for document fingerprint matching in a mixed media environment |
| US8156116B2 (en) | 2006-07-31 | 2012-04-10 | Ricoh Co., Ltd | Dynamic presentation of targeted information in a mixed media reality recognition system |
| US8176054B2 (en) | 2007-07-12 | 2012-05-08 | Ricoh Co. Ltd | Retrieving electronic documents by converting them to synthetic text |
| US9530050B1 (en) | 2007-07-11 | 2016-12-27 | Ricoh Co., Ltd. | Document annotation sharing |
| US8276088B2 (en) | 2007-07-11 | 2012-09-25 | Ricoh Co., Ltd. | User interface for three-dimensional navigation |
| US7970171B2 (en) | 2007-01-18 | 2011-06-28 | Ricoh Co., Ltd. | Synthetic image and video generation from ground truth data |
| US8510283B2 (en) | 2006-07-31 | 2013-08-13 | Ricoh Co., Ltd. | Automatic adaption of an image recognition system to image capture devices |
| US8156115B1 (en) | 2007-07-11 | 2012-04-10 | Ricoh Co. Ltd. | Document-based networking with mixed media reality |
| US8385589B2 (en) | 2008-05-15 | 2013-02-26 | Berna Erol | Web-based content detection in images, extraction and recognition |
| US9405751B2 (en) | 2005-08-23 | 2016-08-02 | Ricoh Co., Ltd. | Database for mixed media document system |
| US9171202B2 (en) | 2005-08-23 | 2015-10-27 | Ricoh Co., Ltd. | Data organization and access for mixed media document system |
| US8369655B2 (en) * | 2006-07-31 | 2013-02-05 | Ricoh Co., Ltd. | Mixed media reality recognition using multiple specialized indexes |
| US8838591B2 (en) | 2005-08-23 | 2014-09-16 | Ricoh Co., Ltd. | Embedding hot spots in electronic documents |
| US8600989B2 (en) | 2004-10-01 | 2013-12-03 | Ricoh Co., Ltd. | Method and system for image matching in a mixed media environment |
| US7702673B2 (en) | 2004-10-01 | 2010-04-20 | Ricoh Co., Ltd. | System and methods for creation and use of a mixed media environment |
| US8521737B2 (en) | 2004-10-01 | 2013-08-27 | Ricoh Co., Ltd. | Method and system for multi-tier image matching in a mixed media environment |
| US9384619B2 (en) | 2006-07-31 | 2016-07-05 | Ricoh Co., Ltd. | Searching media content for objects specified using identifiers |
| US8868555B2 (en) | 2006-07-31 | 2014-10-21 | Ricoh Co., Ltd. | Computation of a recongnizability score (quality predictor) for image retrieval |
| US9373029B2 (en) | 2007-07-11 | 2016-06-21 | Ricoh Co., Ltd. | Invisible junction feature recognition for document security or annotation |
| US8856108B2 (en) | 2006-07-31 | 2014-10-07 | Ricoh Co., Ltd. | Combining results of image retrieval processes |
| US8949287B2 (en) | 2005-08-23 | 2015-02-03 | Ricoh Co., Ltd. | Embedding hot spots in imaged documents |
| US10002325B2 (en) | 2005-03-30 | 2018-06-19 | Primal Fusion Inc. | Knowledge representation systems and methods incorporating inference rules |
| US7849090B2 (en) | 2005-03-30 | 2010-12-07 | Primal Fusion Inc. | System, method and computer program for faceted classification synthesis |
| US8849860B2 (en) | 2005-03-30 | 2014-09-30 | Primal Fusion Inc. | Systems and methods for applying statistical inference techniques to knowledge representations |
| US9104779B2 (en) | 2005-03-30 | 2015-08-11 | Primal Fusion Inc. | Systems and methods for analyzing and synthesizing complex knowledge representations |
| US9177248B2 (en) | 2005-03-30 | 2015-11-03 | Primal Fusion Inc. | Knowledge representation systems and methods incorporating customization |
| US9378203B2 (en) | 2008-05-01 | 2016-06-28 | Primal Fusion Inc. | Methods and apparatus for providing information of interest to one or more users |
| EP2109046A1 (en) * | 2008-04-07 | 2009-10-14 | ExB Asset Management GmbH | Predictive text input system and method involving two concurrent ranking means |
| US8036878B2 (en) | 2005-05-18 | 2011-10-11 | Never Wall Treuhand GmbH | Device incorporating improved text input mechanism |
| US9606634B2 (en) | 2005-05-18 | 2017-03-28 | Nokia Technologies Oy | Device incorporating improved text input mechanism |
| US8374846B2 (en) | 2005-05-18 | 2013-02-12 | Neuer Wall Treuhand Gmbh | Text input device and method |
| US8117540B2 (en) * | 2005-05-18 | 2012-02-14 | Neuer Wall Treuhand Gmbh | Method and device incorporating improved text input mechanism |
| US8489987B2 (en) | 2006-07-31 | 2013-07-16 | Ricoh Co., Ltd. | Monitoring and analyzing creation and usage of visual content using image and hotspot interaction |
| US8676810B2 (en) | 2006-07-31 | 2014-03-18 | Ricoh Co., Ltd. | Multiple index mixed media reality recognition using unequal priority indexes |
| US9063952B2 (en) | 2006-07-31 | 2015-06-23 | Ricoh Co., Ltd. | Mixed media reality recognition with image tracking |
| US9020966B2 (en) | 2006-07-31 | 2015-04-28 | Ricoh Co., Ltd. | Client device for interacting with a mixed media reality recognition system |
| US9176984B2 (en) | 2006-07-31 | 2015-11-03 | Ricoh Co., Ltd | Mixed media reality retrieval of differentially-weighted links |
| US20080092044A1 (en) * | 2006-10-12 | 2008-04-17 | International Business Machines Corporation | Cascading clouds |
| US20080154878A1 (en) * | 2006-12-20 | 2008-06-26 | Rose Daniel E | Diversifying a set of items |
| US8073850B1 (en) * | 2007-01-19 | 2011-12-06 | Wordnetworks, Inc. | Selecting key phrases for serving contextually relevant content |
| KR101373009B1 (en) * | 2007-02-02 | 2014-03-14 | 삼성전자주식회사 | Terminal having display button and display method for the same |
| US9405830B2 (en) | 2007-02-28 | 2016-08-02 | Aol Inc. | Personalization techniques using image clouds |
| US7685200B2 (en) * | 2007-03-01 | 2010-03-23 | Microsoft Corp | Ranking and suggesting candidate objects |
| US20090055722A1 (en) * | 2007-08-22 | 2009-02-26 | Monica Eorgoff | Customizable certificate design and method of use |
| US10289749B2 (en) * | 2007-08-29 | 2019-05-14 | Oath Inc. | Degree of separation for media artifact discovery |
| US9330071B1 (en) * | 2007-09-06 | 2016-05-03 | Amazon Technologies, Inc. | Tag merging |
| CN101861586A (en) * | 2007-10-04 | 2010-10-13 | Ip街股份有限公司 | Aggregation, analysis, and presentation of intellectual property and financial information |
| US20090094189A1 (en) * | 2007-10-08 | 2009-04-09 | At&T Bls Intellectual Property, Inc. | Methods, systems, and computer program products for managing tags added by users engaged in social tagging of content |
| US7904818B2 (en) * | 2007-10-15 | 2011-03-08 | International Business Machines Corporation | Summarizing portlet usage captured responsive to trigger events in a portal page |
| US8191002B2 (en) | 2007-10-15 | 2012-05-29 | International Business Machines Corporation | Summarizing portlet usage in a portal page |
| US20090113281A1 (en) * | 2007-10-31 | 2009-04-30 | Tyler Close | Identifying And Displaying Tags From Identifiers In Privately Stored Messages |
| US8140963B2 (en) * | 2007-12-19 | 2012-03-20 | Yahoo! Inc. | Tag aggregator |
| US10699242B2 (en) * | 2008-01-16 | 2020-06-30 | International Business Machines Corporation | Automated surfacing of tagged content adjunct to vertical applications |
| US8037066B2 (en) * | 2008-01-16 | 2011-10-11 | International Business Machines Corporation | System and method for generating tag cloud in user collaboration websites |
| KR101463608B1 (en) * | 2008-02-12 | 2014-12-05 | 삼성전자 주식회사 | System and method for providing advertisements in IPTV service |
| FR2927716A1 (en) * | 2008-02-18 | 2009-08-21 | France Telecom | METHOD FOR OBTAINING INFORMATION RELATING TO CONTENT CONSULTATIONS AND ASSOCIATED EQUIPMENT |
| US8676732B2 (en) | 2008-05-01 | 2014-03-18 | Primal Fusion Inc. | Methods and apparatus for providing information of interest to one or more users |
| CA2723179C (en) | 2008-05-01 | 2017-11-28 | Primal Fusion Inc. | Method, system, and computer program for user-driven dynamic generation of semantic networks and media synthesis |
| US9361365B2 (en) | 2008-05-01 | 2016-06-07 | Primal Fusion Inc. | Methods and apparatus for searching of content using semantic synthesis |
| US8346540B2 (en) * | 2008-06-03 | 2013-01-01 | International Business Machines Corporation | Deep tag cloud associated with streaming media |
| DE602008005428D1 (en) * | 2008-06-11 | 2011-04-21 | Exb Asset Man Gmbh | Apparatus and method with improved text input mechanism |
| EP2136301A1 (en) * | 2008-06-20 | 2009-12-23 | NTT DoCoMo, Inc. | Method and apparatus for visualising a tag cloud |
| US20090327120A1 (en) * | 2008-06-27 | 2009-12-31 | Eze Ike O | Tagged Credit Profile System for Credit Applicants |
| US20100017385A1 (en) | 2008-07-16 | 2010-01-21 | International Business Machines | Creating and managing reference elements of deployable web archive files |
| EP2329406A1 (en) | 2008-08-29 | 2011-06-08 | Primal Fusion Inc. | Systems and methods for semantic concept definition and semantic concept relationship synthesis utilizing existing domain definitions |
| US20100082563A1 (en) * | 2008-09-30 | 2010-04-01 | International Business Machines Corporation | System impact search engine |
| US20100131899A1 (en) * | 2008-10-17 | 2010-05-27 | Darwin Ecosystem Llc | Scannable Cloud |
| US10373079B2 (en) * | 2008-12-18 | 2019-08-06 | Oracle International Corporation | Method and apparatus for generating recommendations from descriptive information |
| US9141694B2 (en) * | 2008-12-18 | 2015-09-22 | Oracle America, Inc. | Method and apparatus for user-steerable recommendations |
| US8462160B2 (en) * | 2008-12-31 | 2013-06-11 | Facebook, Inc. | Displaying demographic information of members discussing topics in a forum |
| US9521013B2 (en) | 2008-12-31 | 2016-12-13 | Facebook, Inc. | Tracking significant topics of discourse in forums |
| US8543571B2 (en) * | 2009-01-08 | 2013-09-24 | International Business Machines Corporation | Enhanced content web browsing |
| JP5369689B2 (en) * | 2009-01-08 | 2013-12-18 | ヤマハ株式会社 | Information processing apparatus and program |
| US8433998B2 (en) * | 2009-01-16 | 2013-04-30 | International Business Machines Corporation | Tool and method for annotating an event map, and collaborating using the annotated event map |
| US20100250340A1 (en) * | 2009-03-24 | 2010-09-30 | Ip Street, Inc. | Processing and Presenting Intellectual Property and Other Information |
| EP2239652A1 (en) * | 2009-04-07 | 2010-10-13 | Keywords.de GmbH | Providing an interactive visual representation on a display |
| US20100262512A1 (en) * | 2009-04-13 | 2010-10-14 | Ip Street, Inc. | Processing and Presenting Intellectual Property and Other Information |
| JP2010267018A (en) * | 2009-05-13 | 2010-11-25 | Canon Inc | Apparatus and method for processing information processor and information |
| KR20100132375A (en) * | 2009-06-09 | 2010-12-17 | 삼성전자주식회사 | Apparatus and method for displaying electronic program guide content |
| US8385660B2 (en) | 2009-06-24 | 2013-02-26 | Ricoh Co., Ltd. | Mixed media reality indexing and retrieval for repeated content |
| US8533202B2 (en) | 2009-07-07 | 2013-09-10 | Yahoo! Inc. | Entropy-based mixing and personalization |
| JP5744869B2 (en) | 2009-08-11 | 2015-07-08 | サムワンズ グループ インテレクチュアル プロパティー ホールディングス プロプライエタリー リミテッドＳｏｍｅｏｎｅｓ Ｇｒｏｕｐ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｈｏｌｄｉｎｇｓ Ｐｔｙ Ｌｔｄ． | Choice network navigation |
| US8495048B2 (en) * | 2009-08-26 | 2013-07-23 | International Business Machines | Applying user-generated deployment events to a grouping of deployable portlets |
| US20110060645A1 (en) * | 2009-09-08 | 2011-03-10 | Peter Sweeney | Synthesizing messaging using context provided by consumers |
| US20110060644A1 (en) * | 2009-09-08 | 2011-03-10 | Peter Sweeney | Synthesizing messaging using context provided by consumers |
| US9292855B2 (en) | 2009-09-08 | 2016-03-22 | Primal Fusion Inc. | Synthesizing messaging using context provided by consumers |
| US20110106835A1 (en) * | 2009-10-29 | 2011-05-05 | International Business Machines Corporation | User-Defined Profile Tags, Rules, and Recommendations for Portal |
| US8954893B2 (en) * | 2009-11-06 | 2015-02-10 | Hewlett-Packard Development Company, L.P. | Visually representing a hierarchy of category nodes |
| US9262520B2 (en) | 2009-11-10 | 2016-02-16 | Primal Fusion Inc. | System, method and computer program for creating and manipulating data structures using an interactive graphical interface |
| US8281238B2 (en) * | 2009-11-10 | 2012-10-02 | Primal Fusion Inc. | System, method and computer program for creating and manipulating data structures using an interactive graphical interface |
| US8495081B2 (en) * | 2009-12-14 | 2013-07-23 | International Business Machines Corporation | Method, system and computer program product for federating tags across multiple systems |
| US10169740B2 (en) * | 2009-12-31 | 2019-01-01 | International Business Machines Corporation | Tag cloud buddy list for messaging contacts |
| US9772861B2 (en) * | 2010-06-15 | 2017-09-26 | International Business Machines Corporation | Accessing operating system elements via a tag cloud |
| US10474647B2 (en) | 2010-06-22 | 2019-11-12 | Primal Fusion Inc. | Methods and devices for customizing knowledge representation systems |
| US9235806B2 (en) | 2010-06-22 | 2016-01-12 | Primal Fusion Inc. | Methods and devices for customizing knowledge representation systems |
| KR101636723B1 (en) * | 2010-06-28 | 2016-07-06 | 엘지전자 주식회사 | Mobile terminal and operation method thereof |
| US8863034B2 (en) * | 2010-08-11 | 2014-10-14 | International Business Machines Corporation | 3D tag clouds for visualizing federated cross-system tags |
| US20120041953A1 (en) * | 2010-08-16 | 2012-02-16 | Microsoft Corporation | Text mining of microblogs using latent topic labels |
| US9240020B2 (en) | 2010-08-24 | 2016-01-19 | Yahoo! Inc. | Method of recommending content via social signals |
| TWI451277B (en) * | 2010-09-28 | 2014-09-01 | Smartplus Inc | Search tags visualization system and method therefore |
| CA2815428C (en) | 2010-11-01 | 2019-09-24 | Coinstar, Inc. | Gift card exchange kiosks and associated methods of use |
| US20120162350A1 (en) * | 2010-12-17 | 2012-06-28 | Voxer Ip Llc | Audiocons |
| US9996620B2 (en) | 2010-12-28 | 2018-06-12 | Excalibur Ip, Llc | Continuous content refinement of topics of user interest |
| US11294977B2 (en) | 2011-06-20 | 2022-04-05 | Primal Fusion Inc. | Techniques for presenting content to a user based on the user's preferences |
| US20120191508A1 (en) * | 2011-01-20 | 2012-07-26 | John Nicholas Gross | System & Method For Predicting Outcome Of An Intellectual Property Rights Proceeding/Challenge |
| US20120266090A1 (en) * | 2011-04-18 | 2012-10-18 | Microsoft Corporation | Browser Intermediary |
| US9230549B1 (en) | 2011-05-18 | 2016-01-05 | The United States Of America As Represented By The Secretary Of The Air Force | Multi-modal communications (MMC) |
| US9098575B2 (en) | 2011-06-20 | 2015-08-04 | Primal Fusion Inc. | Preference-guided semantic processing |
| US20130018892A1 (en) * | 2011-07-12 | 2013-01-17 | Castellanos Maria G | Visually Representing How a Sentiment Score is Computed |
| US9058331B2 (en) | 2011-07-27 | 2015-06-16 | Ricoh Co., Ltd. | Generating a conversation in a social network based on visual search results |
| EP2575055A1 (en) * | 2011-09-29 | 2013-04-03 | France Telecom | Enhanced tag cloud |
| US8874467B2 (en) | 2011-11-23 | 2014-10-28 | Outerwall Inc | Mobile commerce platforms and associated systems and methods for converting consumer coins, cash, and/or other forms of value for use with same |
| US9679496B2 (en) * | 2011-12-01 | 2017-06-13 | Arkady Zilberman | Reverse language resonance systems and methods for foreign language acquisition |
| US20130161153A1 (en) * | 2011-12-27 | 2013-06-27 | Coinstar, Inc. | Consumer operated kiosk-based marketplace systems and associated methods |
| US10739938B2 (en) | 2012-01-05 | 2020-08-11 | International Business Machines Corporation | Customizing a tag cloud |
| US8671340B1 (en) * | 2012-01-12 | 2014-03-11 | Imdb.Com, Inc. | Calculating and visualizing the age of content |
| US20130212093A1 (en) | 2012-02-15 | 2013-08-15 | International Business Machines Corporation | Generating visualizations of a display group of tags representing content instances in objects satisfying a search criteria |
| US9661357B2 (en) * | 2012-03-12 | 2017-05-23 | Cisco Technology, Inc. | Method and system to locally cache and inform users of partial video segments and data objects |
| US9360982B2 (en) | 2012-05-01 | 2016-06-07 | International Business Machines Corporation | Generating visualizations of facet values for facets defined over a collection of objects |
| US9189544B2 (en) * | 2012-07-25 | 2015-11-17 | International Business Machines Corporation | Graphically representing tags in a networked computing environment |
| US9836548B2 (en) | 2012-08-31 | 2017-12-05 | Blackberry Limited | Migration of tags across entities in management of personal electronically encoded items |
| US9880991B2 (en) * | 2012-10-17 | 2018-01-30 | International Business Machines Corporation | Transposing table portions based on user selections |
| CN103870104B (en) * | 2012-12-14 | 2017-12-29 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| US9836551B2 (en) * | 2013-01-08 | 2017-12-05 | International Business Machines Corporation | GUI for viewing and manipulating connected tag clouds |
| US9218321B2 (en) | 2013-01-29 | 2015-12-22 | International Business Machines Corporation | Creating tag clouds based on user specified arbitrary shape tags |
| US9489119B1 (en) | 2013-10-25 | 2016-11-08 | Theodore Root Smith, Jr. | Associative data management system utilizing metadata |
| US9483520B1 (en) * | 2013-12-18 | 2016-11-01 | EMC IP Holding Company LLC | Analytic data focus representations for visualization generation in an information processing system |
| US9607040B2 (en) * | 2014-01-23 | 2017-03-28 | International Business Machines Corporation | Tag management in a tag cloud |
| US20150248429A1 (en) * | 2014-02-28 | 2015-09-03 | Microsoft Corporation | Generation of visual representations for electronic content items |
| US9672865B2 (en) * | 2014-05-30 | 2017-06-06 | Rovi Guides, Inc. | Systems and methods for temporal visualization of media asset content |
| US9824160B2 (en) * | 2014-06-02 | 2017-11-21 | SynerScope B.V. | Computer implemented method and device for accessing a data set |
| JP6027580B2 (en) * | 2014-08-27 | 2016-11-16 | 京セラドキュメントソリューションズ株式会社 | Information display system and information display program |
| FR3038995B1 (en) * | 2015-07-15 | 2018-05-11 | F4 | INTERACTIVE DEVICE WITH CUSTOMIZABLE DISPLAY |
| US10025457B2 (en) * | 2015-10-18 | 2018-07-17 | International Business Machines Corporation | File folder display |
| US10320809B1 (en) * | 2015-10-30 | 2019-06-11 | Cyberinc Corporation | Decoupling rendering engine from web browser for security |
| US10313391B1 (en) * | 2015-10-30 | 2019-06-04 | Cyberinc Corporation | Digital distillation |
| US9954880B2 (en) * | 2015-10-30 | 2018-04-24 | Salesforce.Com, Inc. | Protection via webpage manipulation |
| US10346819B2 (en) | 2015-11-19 | 2019-07-09 | Coinstar Asset Holdings, Llc | Mobile device applications, other applications and associated kiosk-based systems and methods for facilitating coin saving |
| US10366528B2 (en) * | 2015-12-08 | 2019-07-30 | Amazon Technologies, Inc. | Interactive points of interest for 3D-representations |
| CN105930416A (en) * | 2016-04-19 | 2016-09-07 | 中山大学 | Visualization processing method and system of user feedback information |
| US11176315B2 (en) * | 2019-05-15 | 2021-11-16 | Elsevier Inc. | Comprehensive in-situ structured document annotations with simultaneous reinforcement and disambiguation |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3471394A (en) * | 1966-12-23 | 1969-10-07 | Pennwalt Corp | Salt bridge reference electrode |
| US6339767B1 (en) * | 1997-06-02 | 2002-01-15 | Aurigin Systems, Inc. | Using hyperbolic trees to visualize data generated by patent-centric and group-oriented data processing |
| US5805911A (en) | 1995-02-01 | 1998-09-08 | Microsoft Corporation | Word prediction system |
| US20030050927A1 (en) * | 2001-09-07 | 2003-03-13 | Araha, Inc. | System and method for location, understanding and assimilation of digital documents through abstract indicia |
| US6453329B1 (en) * | 2000-08-08 | 2002-09-17 | Stephen Dodgen | Method for translating distilled filed for handling of large data files and programs by computing devices with limited processing capability |
| US7003522B1 (en) | 2002-06-24 | 2006-02-21 | Microsoft Corporation | System and method for incorporating smart tags in online content |
| US7548863B2 (en) | 2002-08-06 | 2009-06-16 | Apple Inc. | Adaptive context sensitive analysis |
| US7370271B2 (en) * | 2002-10-30 | 2008-05-06 | Actuate Corporation | Methods and apparatus for generating a spreadsheet report template |
| US7246134B1 (en) * | 2004-03-04 | 2007-07-17 | Sun Microsystems, Inc. | System and methods for tag library generation |
| US7412534B2 (en) * | 2005-09-30 | 2008-08-12 | Yahoo! Inc. | Subscription control panel |
| US7664760B2 (en) * | 2005-12-22 | 2010-02-16 | Microsoft Corporation | Inferred relationships from user tagged content |
| US20080016052A1 (en) * | 2006-07-14 | 2008-01-17 | Bea Systems, Inc. | Using Connections Between Users and Documents to Rank Documents in an Enterprise Search System |
| US20080016061A1 (en) * | 2006-07-14 | 2008-01-17 | Bea Systems, Inc. | Using a Core Data Structure to Calculate Document Ranks |
| US7873641B2 (en) * | 2006-07-14 | 2011-01-18 | Bea Systems, Inc. | Using tags in an enterprise search system |
| US20080016071A1 (en) * | 2006-07-14 | 2008-01-17 | Bea Systems, Inc. | Using Connections Between Users, Tags and Documents to Rank Documents in an Enterprise Search System |
| US20080016053A1 (en) * | 2006-07-14 | 2008-01-17 | Bea Systems, Inc. | Administration Console to Select Rank Factors |
| US20080016072A1 (en) * | 2006-07-14 | 2008-01-17 | Bea Systems, Inc. | Enterprise-Based Tag System |
| US8065601B2 (en) * | 2006-08-03 | 2011-11-22 | Apple Inc. | System and method for tagging data |
| US20080059897A1 (en) * | 2006-09-02 | 2008-03-06 | Whattoread, Llc | Method and system of social networking through a cloud |
| US20080071929A1 (en) * | 2006-09-18 | 2008-03-20 | Yann Emmanuel Motte | Methods and apparatus for selection of information and web page generation |
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2007
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| CA2602852C (en) | 2014-07-08 |
| US20080072145A1 (en) | 2008-03-20 |
| US7752534B2 (en) | 2010-07-06 |
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