System and method for monitoring evolution over time of temporal content

• US 20070143300A1
• Filed: 12/20/2005
• Published: 06/21/2007
• Est. Priority Date: 12/20/2005
• Status: Abandoned Application

• Current Assignee: IAC Search & Media Incorporated (Match Group, Inc.)
• Original Assignee: Ask Jeeves, Inc. (IAC, Inc.)
• Inventors: Gulli, Antonino, Savona, Antonio, Tanganelli, Filippo
• Application Number:
  US11/313,584
• Publication Number:
  US 20070143300A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2477 Temporal data queries

Abstract

A method and a system to receive temporal content from many sources over a transmission line, store the temporal content in at least one storage device, extract entity content from the temporal content, analyze entity occurrences to determine temporal content trends, receive a search query from a user, and render personalized temporal content to the user based on the temporal content trends.

Claims

1. A computer network system comprising:

a first storage device connected to a transmission line;

an entity extractor unit to render entity content;

a second storage device connected to the entity extractor unit;

a trend analyzer unit connected to the second storage device;

a plurality of servers connected to a wide-area network and the trend analyzer; and

at least one client to communicate with the wide-area network, the at least one client having a browser to transmit content requests to the plurality of servers and to render trend-based content returned in response to the requests.

2. The system of claim 1, wherein the first storage device stores temporal content.

3. The system of claim 2, wherein the news content comprises text, graphics, video, hypertext and uniform resource locator (URL) data.

4. The system of claim 1, wherein the second storage device stores extracted entity content from the first storage device.

5. The system of claim 1, further comprising:

at least one web crawler coupled to the trend analyzer unit;

a clustering unit coupled to the trend analyzer unit;

a search engine to the trend analyzer unit, the search engine operates to predict trends of queries based on trends of temporal content;

a personalized news engine coupled to the trend analyzer unit;

a speech dictionary coupled to the trend analyzer unit, the speech dictionary includes speech converted to text; and

a language identifier unit coupled to the trend analyzer unit.

6. The system of claim 5, wherein the at least one web crawler is a tuned to crawl based on positive trends in temporal content.

7. The system of claim 1, wherein the entity content comprises:

names data, class data, date data, URL data, location information data, title data and news source data.

8. The system of claim 1, wherein the trend analyzer unit operates to determine trends of temporal content.

9. The system of claim 1, wherein the trend analyzer unit includes a classifier unit, wherein the classifier unit operates to predict a plurality of classes for a plurality of unclassified entity content.

10. The system of claim 9, wherein each unclassified entity content of the plurality of entity content is associated with one or more classes.

11. A system comprising:

a plurality of servers coupled to a wide-area network having temporal content trend information and entity content stored in at least one storage device;

a plurality of clients to communicate with the wide-area network over a communications medium, the plurality of clients having varying locations;

means for generating content data based on a plurality of temporal content trends for each of the plurality of clients;

wherein the plurality of clients each having a hyperlink browser to send HTTP requests to the plurality of servers and to render personalized temporal content returned in response to the HTTP requests.

12. The system of claim 11, wherein the means for generating content data comprises:

an entities extractor unit coupled to the at least one storage device;

a trend analyzer unit coupled to the entities extractor unit;

at least one tunable web crawler coupled to the trend analyzer unit;

a clustering unit coupled to the trend analyzer unit;

a search engine coupled to the trend analyzer unit, the search engine operates to predict trends of queries based on trends of temporal content;

a personalized news engine coupled to the trend analyzer unit;

a speech dictionary coupled to the trend analyzer unit, the speech dictionary includes audio content converted to text; and

a language identifier unit coupled to the trend analyzer unit.

13. The system of claim 12, wherein the temporal content comprises text, graphics, video, hypertext and uniform resource locator (URL) data.

14. The system of claim 12, wherein the trend analyzer unit operates to determine trends of temporal content.

15. The system of claim 12, wherein the trend analyzer unit includes a classifier unit, wherein the classifier unit operates to predict a plurality of classes for a plurality of unclassified entity content.

16. The system of claim 15, wherein each unclassified entity content of the plurality of entity content is associated with one or more classes.

17. A method comprising:

receiving temporal content from a plurality of sources over a transmission line;

storing the temporal content in at least one storage device;

extracting entity content from the temporal content;

analyzing entity occurrences to determine temporal content trends;

receiving a search query from a user; and

rendering personalized temporal content to the user based on the temporal content trends.

18. A machine-accessible medium containing instructions that, when executed, cause a machine to:

store temporal content received from a plurality of sources in at least one storage device;

extract entity content from the temporal content; and

analyze entity occurrences to determine temporal content trends.

19. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

cluster entity content to provide a search engine with a fresh search index.

20. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

cluster entity content to determine fresh and dynamic relations between the clustered entity content.

21. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

cluster entity content, wherein the clustered entity content are uniform resource locators (URLs) to provide a search engine with a fresh search index.

22. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

correlate top gainer events to increase ranking of search engines and to predict search trends.

23. The machine-accessible medium of claim 22, further containing instructions that, when executed, cause a machine to:

suggest correlated top gainer events to users to expand the users'"'"' search query over a recurrence space.

24. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

determine category percentiles for entity content;

provide a graphical user interface (GUI) to a user,

wherein the GUI displays the category percentiles and descriptions for the entity content, and the displayed category percentiles are distinguishable and user selectable.

25. The machine-accessible medium of claim 24, further containing instructions that, when executed, cause a machine to:

render a plurality of URLs to a user based on a selected category percentile.

26. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

render a personal watch-list display for a user based on temporal content trends and the user'"'"'s past temporal content searches.

27. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

render a global watch-list display for a plurality of users based on temporal content trends and the plurality of users past temporal content searches.

28. The machine-accessible medium of claim 18, further containing instructions that, when executed, cause a machine to:

set prices in an advertising selling scheme based on discovered trends.