System and method for ranking content and applications through human assistance

• US 8,713,003 B2
• Filed: 06/24/2011
• Issued: 04/29/2014
• Est. Priority Date: 07/24/2009
• Status: Active Grant

• Current Assignee: Krassimir Fotev
• Original Assignee: Peer Belt Inc.
• Inventors: Fotev, Krassimir
• Primary Examiner(s): Wong, Leslie
• Application Number:
  US13/168,191
• Publication Number:
  US 20110276568A1
• Time in Patent Office: 1,040 Days
• Field of Search: 707723-728, 707/707, 707/999.003, 707/999.01, 707/999.107
• US Class Current: 707/723
• 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 includes 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 includes 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 comprising:

a memory; and

a processor, coupled to the memory and to;

capture a search query responsive to which at least one of one or more documents, applications, sound, or visual media are provided;

determine, that a user has navigated the at least one of the one or more documents, applications, sound or visual media for at least a defined period of time, the defined period of time being defined based on at least one of (a) a length of the at least one of the one or more documents, applications, sound or visual media, (b) a word count of the at least one of the one or more documents, or (c) a fragmentation of the at least one of the one or more documents, applications, sound or visual media;

monitor, in relation to the at least one of the one or more documents, applications, sound or visual media, and based on a determination that the user has navigated the at least one of the one or more documents, applications, sound or visual media for at least the defined period of time, one or more interaction events, the one or more interaction events comprising one or more user behaviors that demonstrate interest in the at least one of the one or more documents, applications, sound or visual media, each of the one or more interaction events having a respective weight that reflects a relative significance of the interaction event in relation to a relevance of the one or more documents, applications, sound or visual media to the search query; and

provide a relevance measure for the at least one of the one or more documents, applications, sound or visual media based on a respective weight associated with the one or more interaction events.

2. The system of claim 1 further comprising:

one or more promotion stores configured to at least one of;

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

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

store one or more vectors that are based on keyword tags associated with the one or more documents, applications, sound or visual media and the documents, applications, sound or visual media;

or

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

3. The system of claim 1, further comprising a client application stored in the memory, the client application comprising at least one of an operating system component, an application plug-in, or a stand alone application.

4. The system of claim 3, wherein the client application is to:

determine whether the relevance measure is above a predetermined value;

link the at least one of the one or more documents, applications, sound or visual media to a semantic domain when the relevance measure is greater than the predetermined value; and

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

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

6. The system of claim 1, wherein the one or more interaction events comprise at least one of:

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

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

a length of the document;

or

a static image complexity of the document;

or

a fragmentation of the document.

8. The system of claim 1, wherein the one or more interaction events comprise at least one of:

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 watching or listening to media content, media content emailing, or media address emailing.

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

10. The system of claim 1, wherein the one or more interaction events comprise at least one of:

application installation count, time spent 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 reading application content, application content highlighting, application content emailing, application content address emailing, or application address emailing.

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

a length of the documents;

an expected par time in a gaming application;

a sound media length in time;

a video media length in time;

a static image complexity;

a fragmentation.

12. The system of claim 10, wherein the one or more interaction events comprise at least one of:

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

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

a game length in levels;

a game length in schemes;

or

a game length in checkpoints.

14. The system of claim 1, wherein the processor is further to provide one or more search results based on the relevance measure of the at least one of the one or more documents, applications, sound or visual media.

15. The system of claim 1, further comprising a display to display one or more search results based on the relevance measure of the at least one of the one or more applications, applications, sound or visual media.

16. The system of claim 1, further comprising a display to display one or more search results.

17. A method comprising:

capturing a query for one or more documents, applications, sound or visual media;

determining, with a processor, that a user has navigated at least one of the one or more documents, applications, sound or visual media for at least a defined period of time, the defined period of time being defined based on at least one of (a) a length of the at least one of the one or more documents, applications, sound or visual media, (b) a word count of the at least one of the one or more documents, or (c) a fragmentation of the at least one of the one or more documents, applications, sound or visual media;

monitoring, in relation to the at least one of the one or more documents, applications, sound or visual media, and based on a determination that the user has navigated the at least one of the one or more documents, applications, sound or visual media for at least the defined period of time, one or more interaction events, the one or more interaction events comprising one or more user behaviors that demonstrate interest in the at least one of the one or more documents, applications, sound or visual media, each of the one or more interaction events having a respective weight that reflects a relative significance of the interaction event in relation to a relevance of the one or more documents, applications, sound or visual media to the query; and

providing a relevance measure for the at least one of the one or more documents, applications, sound or visual media based on a respective weight associated with the one or more interaction events.

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

19. The method of claim 17, wherein at least one of the capturing, determining, monitoring, or providing are performed in conjunction with at least one of 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 value.

21. The method of claim 20 further comprising linking the at least one of the one or more documents, applications, sound or visual media to a semantic domain when the relevance measure is greater than the predetermined 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 comprising persisting a semantic link to the at least one of the one or more documents, applications, sound or visual media.

24. The method of claim 17, wherein the one or more interaction events comprise at least one of:

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

25. The method of claim 24, further comprising normalizing the time spent reading the document based on at least one of or a superposition of at least one of:

a length of the document;

a static image complexity of the document;

or

a fragmentation of the document.

26. The method of claim 17, wherein the one or more interaction events comprise at least one of:

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 watching or listening to media content, media content emailing, or media address emailing.

27. The method of claim 26, further comprising normalizing the time spent consuming the media based on a length of the media.

28. The method of claim 17, wherein the one or more interaction events comprise at least one of:

application installation count, time spent 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 reading application content, application content highlighting, application content emailing, application content address emailing, or application address emailing.

29. The method of claim 28, further comprising normalizing the time spent in using the application based on at least one of or a superposition of at least of:

a length of the documents;

an expected par time in a gaming application;

a audio media length in time;

a video media length in time;

a static image complexity;

a fragmentation.

30. The method of claim 28, wherein the one or more interaction events comprise at least one of:

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

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

a game length in levels;

a game length in schemes;

or

a game length in checkpoints.

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

33. A non-transitory computer-readable medium encoded with instructions executable by a processor for performing operations comprising:

capturing a query for one or more documents, applications, sound or visual media;

determining, that a user has navigated at least one of the one or more documents, applications, sound or visual media for at least a defined period of time, the defined period of time being defined based on at least one of (a) a length of the at least one of the one or more documents, applications, sound or visual media, (b) a word count of the at least one of the one or more documents, or (c) a fragmentation of the at least one of the one or more documents, applications, sound or visual media;

monitoring, in relation to the at least one of the one or more documents, applications, sound or visual media, and based on a determination that the user has navigated the at least one of the one or more documents, applications, sound or visual media for at least the defined period of time, one or more interaction events, the one or more interaction events comprising one or more user behaviors that demonstrate interest in the at least one of the one or more documents, applications, sound or visual media, each of the one or more interaction events having a respective weight that reflects a relative significance of the interaction event in relation to a relevance of the one or more documents, applications, sound or visual media to the query; and

providing a relevance measure for the at least one of the one or more documents, applications, sound or visual media based on a respective weight associated with the one or more interaction events.

34. The non-transitory computer-readable medium of claim 33, further encoded with instructions executable by the processor for performing operations comprising:

determining whether the relevance measure is above a predetermined value;

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

persisting the link to the at least one of the one or more documents, applications, sound or visual media.