SYSTEM AND METHOD FOR RANKING CONTENT AND APPLICATIONS THROUGH HUMAN ASSISTANCE

• US 20110276568A1
• Filed: 06/24/2011
• Published: 11/10/2011
• Est. Priority Date: 07/24/2009
• Status: Active Grant

• Current Assignee: Krassimir Fotev
• Original Assignee: Peer Belt Inc.
• Inventors: Fotev, Krassimir
• Granted Patent: US 8,713,003 B2
• Time in Patent Office: Days
• US Class Current: 707/728
• CPC Class Codes: G06F 16/3331 Query processing
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

Embodiments of a system and method are provided for ranking the contents of one or more documents, applications, sound or visual media through human assistance. The system comprises one or more search engines configured to provide one or more documents, applications, sound or visual media based on a search query sent by a user. Further, the system comprises a client application configured to capture the query sent by the user and the keyword tags provided by the documents, applications, sound or visual media author. The client application monitors one or more interactions of the user with the one or more documents, applications, sound or visual media for one or more events and provides a relevance measure to the one or more documents, applications, sound or visual media based on the captured query or tags, and the one or more events.

Claims

1. A system for ranking contents of one or more documents, applications, sound or visual media through human assistance provided by one or more search engines based on a search query sent by a user, the system comprising:

a processor;

a memory accessible by the processor,

the system configured;

and

a client application stored in the memory, which, when executed by the processor, causes the system to be configured to;

capture the search query sent by the user;

capture one or more keyword tags provided by an author of the one or more documents, applications, sound, or visual media;

monitor one or more interactions of the user with the one or more documents, applications, sound or visual media for one or more events; and

compute a relevance measure for the one or more documents, applications, sound or visual media based on the search query and the one or more events;

or

provide a relevance measure to the one or more documents, applications, sound or visual media based on the captured keyword tags provided by the document author and the one or more events.

2. The system of claim 1 further comprising:

one or more promotion stores configured to;

store one or more ranked documents, applications, sound or visual media;

store one or more vectors, wherein the vectors are based on the captured query and the documents, applications, sound or visual media;

or

store one or more vectors, wherein the vectors are based on the keyword tags provided by the author of the documents, applications, sound or visual media and the documents, applications, sound or visual media; and

store one or more promotion counters associated with the one or more vectors.

3. The system of claim 1, wherein the client application comprises an operating system component, an application plug-in, or a stand alone application.

4. The system of claim 1, wherein the client application is further configured to:

determine whether the relevance measure is above a predetermined critical value;

link the documents, applications, sound or visual media to a perceived semantic domain when the relevance measure is greater than the predetermined critical value; and

persist one or more semantic links to the documents, applications, sound or visual media.

5. The system of claim 4, wherein the semantic domain is perceived based on the captured query.

6. The system of claim 1, wherein the one or more events can be selected from a group comprising:

a document printing, a document saving, a document copying, a document bookmarking, a document address copying, a plurality of document visits, a keyboard data entry, a document scrolling, a pointer clicking, a document zooming, a document switching, time spent in reading the document, document navigation, document content highlighting, document content bookmarking, document content emailing, document address emailing.

7. The system of claim 6, wherein the amount of time spent in reading the document is normalized based on a superposition of:

a length of the document;

or

a static image complexity of the document.

8. The system of claim 1, wherein the one or more events can be selected from a group comprising:

media play count, media content printing, media content saving, media content copying, media content bookmarking, media address copying, media content scrolling, media content pointer clicking, media content switching, time spent in watching or listening to media content, media content emailing, media address emailing.

9. The system of claim 8, wherein the amount of time spent in consuming the media is normalized based on a length of the media document.

10. The system of claim 1, wherein the one or more events can be selected from a group comprising:

application installation count, time spent in using the application, application content printing, application content saving, application content copying, application content bookmarking, application content address copying, application content number of visits, application content scrolling, application content pointer clicking, application content zooming, application content switching, time spent in reading application content, application content highlighting, application content emailing, application content address emailing, application address emailing.

11. The system of claim 10, wherein the amount of time spent in using the application is normalized based on one of or a superposition of two or more of:

a length of the documents;

or

an expected par time in a gaming application;

or

a sound media length in time;

or

a video media length in time;

or

a static image complexity;

12. The system of claim 10, wherein the one or more events can be selected from a group comprising:

levels completed in a gaming application, scenes completed in a gaming application, checkpoints completed in a gaming application.

13. The system of claim 12, wherein the amount of time spent in playing the game is normalized based on:

a game length in levels;

or

a game length in schemes;

or

a game length in checkpoints.

14. The system of claim 1, further comprising a display configured to display one or more search results to the user based on the relevance measure of the documents.

15. The system of claim 1, further comprising a display configured to display one or more search results to the user based on the relevance measure of the applications.

16. The system of claim 1, further comprising a display configured to display one or more search results to the user based on the relevance measure of the sound or visual media.

17. A computer-implemented method for ranking contents of one or more documents, applications, sound or visual media with a computing device and through human assistance, the computing device having a processor, a memory, and a client application stored in the memory and executing in the processor, the method comprising:

capturing a query sent by a user to a search engine for the one or more documents, applications, sound or visual media, the query being captured by the client application;

capturing keyword tags provided by the documents, applications, sound or visual media author for the one or more documents, applications, sound or visual media, wherein the tags are captured by the client application or an operating system;

monitoring one or more interactions of the user with the one or more documents for one or more events, wherein the one or more interactions are monitored by the client application or the operating system; and

providing a relevance measure to the one or more documents, applications, sound or visual media based on the captured query and the one or more events.

providing a relevance measure to the one or more documents, applications, sound or visual media based on the captured keyword tags provided by the document author and the one or more events.

18. The method of claim 17 further comprising sending the captured query or tags to one or more promotion stores for the documents, applications, sound or visual media.

19. The method of claim 17, wherein the client application comprises an operating system component, application plug-in, or stand-alone application.

20. The method of claim 17 further comprising determining if the relevance measure is above a predetermined critical value.

21. The method of claim 20 further comprises linking the documents, applications, sound or visual media to a perceived semantic domain when the relevance measure is greater than the predetermined critical value.

22. The method of claim 21, wherein the semantic domain is perceived based on the captured query.

23. The method of claim 21 further comprises persisting a semantic link to the documents, applications, sound or visual media.

24. The method of claim 17, wherein the one or more events can be selected from a group comprising:

a document printing, a document saving, a document copying, a document bookmarking, a document address copying, a number of document visits, a keyboard data entry, a document scrolling, a pointer clicking, a document zooming, a document switching, time spent in reading the document, document navigation, document content highlighting, document content bookmarking, document content emailing, document address emailing.

25. The method of claim 24, wherein the amount of time spent in reading the document is normalized based on one of or a superposition of:

a length of the document;

or

a static image complexity.

26. The method of claim 17, wherein the one or more events can be selected from a group comprising:

media play count, media content printing, media content saving, media content copying, media content bookmarking, media address copying, media content scrolling, media content pointer clicking, media content switching, time spent in watching or listening to media content, media content emailing, media address emailing.

27. The method of claim 26, wherein the amount of time spent in consuming the media is normalized based on a length of the media document.

28. The method of claim 17, wherein the one or more events can be selected from a group comprising:

application installation count, time spent in using the application, application content printing, application content saving, application content copying, application content bookmarking, application content address copying, application content number of visits, application content scrolling, application content pointer clicking, application content zooming, application content switching, time spent in reading application content, application content highlighting, application content emailing, application content address emailing, application address emailing.

29. The method of claim 28, wherein the amount of time spent in using the application is normalized based on one of or a superposition of two or more of:

a length of the documents;

or

an expected par time in a gaming application;

or

a audio media length in time;

or

a video media length in time;

or

a static image complexity;

30. The method of claim 28, wherein the one or more events can be selected from a group comprising:

levels completed in a gaming application, scenes completed in a gaming application, checkpoints completed in a gaming application.

31. The system of claim 30, wherein the amount of time spent in playing the game is normalized based on:

a game length in levels;

or

a game length in schemes;

or

a game length in checkpoints.

32. The method of claim 17, further comprising displaying one or more search results to the user based on the relevance measure of the documents, applications, sound or visual media.

33. A computer-readable medium encoded with instructions executable by a processor for performing a method for ranking contents of one or more documents, applications, sound or visual media through human assistance, the method comprising:

capturing a query sent by a user to a search engine for the one or more documents, applications, sound or visual media, the query being captured by a client application;

capturing keyword tags provided by the document author for the one or more documents, applications, sound or visual media, wherein the query is captured by a client application;

monitoring one or more interactions of the user with the one or more documents, applications, sound or visual media for one or more events, wherein the one or more interactions are monitored by the client application; and

providing a relevance measure to the one or more documents, applications, sound or visual media based on the captured query and the one or more events.

34. The computer-readable medium of claim 33, further comprising:

determining whether the relevance measure is above a predetermined critical value;

linking the documents, applications, sound or visual media to a perceived semantic domain when the relevance measure is greater than the predetermined critical value; and

persisting the semantic link to the documents, applications, sound or visual media.