Methods and systems for capturing information

• US 7,412,708 B1
• Filed: 03/31/2004
• Issued: 08/12/2008
• Est. Priority Date: 03/31/2004
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Lawrence, Stephen R., Khan, Omar Habib
• Primary Examiner(s): An; Meng-Ai
• Assistant Examiner(s): Hoang; Phuong N.
• Application Number:
  US10/814,418
• Time in Patent Office: 1,595 Days
• Field of Search: 719/318, 707 1- 6, 717/140
• US Class Current: 719/318
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: Y10S 707/99936 Pattern matching access

Abstract

Systems and methods for capturing information are described. In one embodiment, an event having an associated article is identified, article data associated with the article is identified, and a capture score for the event is determined based at least in part on article data. Article data can comprise, for example, one or a combination of a location of the article, a file-type of the article, and access data for the article. Event data associated with the event is compiled responsive at least in part to a comparison of the capture score and a threshold value.

Claims

1. A method, comprising:

identifying an event, the event comprising a user interaction with an article stored on a client device;

identifying article data associated with the article;

determining a capture score for the event based at least in part on the article data, the determining comprising;

populating one or more fields of an event schema responsive to the article data;

associating one or more weights with the one or more fields of the event schema, a weight being a value indicating a relative importance of a field; and

generating the capture score responsive at least in part to the weights and contents of the populated fields of the event schema; and

compiling event data associated with the event responsive at least in part to a comparison of the capture score and a threshold value, the threshold value determined based at least in part on user behavior, the compiling comprising storing the contents of one or more fields of the event schema.

2. The method of claim 1, wherein the article data comprises a location of the article.

3. The method of claim 2, wherein the capture score is determined at least in part by associating a weight with the location of the article.

4. The method of claim 3, wherein the weight is determined at least in part by user behavior.

5. The method of claim 2, wherein the location of the article comprises a directory identifier in which the article is stored.

6. The method of claim 1, wherein the article data comprises a file type of the article.

7. The method of claim 6, wherein the capture score is determined at least in part by associating a weight with the file type of the article.

8. The method of claim 7, wherein the weight is determined at least in part by user behavior.

9. The method of claim 1, wherein the article data comprises access data associated with the article.

10. The method of claim 9, wherein access data comprises recency associated with access of the article.

11. The method of claim 9, wherein access data comprises frequency associated with access of the article.

12. The method of claim 1, wherein the capture score is determined at least in part by associating at least one weight with the article data.

13. The method of claim 12, wherein the weight is determined at least in part by user behavior.

14. The method of claim 1, wherein the threshold value is predetermined.

15. The method of claim 1, further comprising indexing the event responsive at least in part to a comparison of the capture score and the threshold value.

16. The method of claim 1, further comprising storing the event responsive at least in part to a comparison of the capture score and the threshold value.

17. The method of claim 1, further comprising not indexing the event responsive at least in part to a comparison of the capture score and the threshold value.

18. The method of claim 1, further comprising not storing the event responsive at least in part to a comparison of the capture score and the threshold value.

19. The method of claim 1, wherein the event is a historical event.

20. The method of claim 1, wherein the article is identified during a crawl of a memory or an associated storage device of the client device.

21. The method of claim 1, further comprising determining if the article meets at least one criterion and not capturing the event if the article meets the criterion.

22. The method of claim 1, wherein the threshold value is an average of capture scores for other events.

23. A computer-readable storage medium containing program code executable by a processor, comprising:

program code for identifying an event, the event comprising a user interaction with an article stored on a client device;

program code for identifying article data associated with the article;

program code for determining a capture score for the event based at least in part on the article data, the determining comprising;

populating one or more fields of an event schema responsive to the article data;

associating one or more weights with the one or more fields of the event schema, a weight being a value indicating a relative importance of a field; and

generating the capture score responsive at least in part to the weights and contents of the populated fields of the event schema; and

program code for compiling event data associated with the event responsive at least in part to a comparison of the capture score and a threshold value, the threshold value determined based at least in part on user behavior, the compiling comprising storing the contents of one or more fields of the event schema.

24. The computer-readable medium of claim 23, wherein the article data comprises a location of the article.

25. The computer-readable medium of claim 24, wherein the capture score is determined at least in part by associating a weight with the location of the article.

26. The computer-readable medium of claim 25, wherein the weight is determined at least in part by user behavior.

27. The computer-readable medium of claim 24, wherein the location of the article comprises a directory identifier in which the article is stored.

28. The computer-readable medium of claim 23, wherein the article data comprises a file type of the article.

29. The computer-readable medium of claim 28, wherein the capture score is determined at least in part by associating a weight with the file type of the article.

30. The computer-readable medium of claim 29, wherein the weight is determined at least in part by user behavior.

31. The computer-readable medium of claim 23, wherein the article data comprises access data associated with the article.

32. The computer-readable medium of claim 31, wherein access data comprises recency associated with access of the article.

33. The computer-readable medium of claim 32, wherein the capture score is determined at least in part by associating at least one weight with the article data.

34. The computer-readable medium of claim 33, wherein the weight is determined at least in part by user behavior.

35. The computer-readable medium of claim 31, wherein access data comprises frequency associated with access of the article.

36. The computer-readable medium of claim 23, wherein the threshold value is predetermined.

37. The computer-readable medium of claim 23, further comprising program code for indexing the event responsive at least in part to a comparison of the capture score and the threshold value.

38. The computer-readable medium of claim 23, further comprising program code for storing the event responsive at least in part to a comparison of the capture score and the threshold value.

39. The computer-readable medium of claim 23, further comprising program code for not indexing the event responsive at least in part to a comparison of the capture score and the threshold value.

40. The computer-readable medium of claim 23, further comprising program code for not storing the event responsive at least in part to a comparison of the capture score and the threshold value.

41. The computer-readable medium of claim 23, wherein the event is a historical event.

42. The computer-readable medium of claim 23, wherein the article is identified during a crawl of memory or an associated storage device of the client device.

43. The computer-readable medium of claim 23, further comprising program code for determining if the article meets at least one criterion and not capturing the event if the article meets the criterion.

44. The computer-readable medium of claim 23, wherein the threshold value is an average of capture scores for other events.

45. A computer system having a processor, comprising:

a means executed on the processor for determining a capture score for an event, the event comprising a user interaction with an article stored on a client device, the determining comprising;

populating one or more fields of an event schema responsive to article data associated with the article;

associating one or more weights with the one or more fields of the event schema, a weight being a value indicating a relative importance of a field; and

generating the capture score responsive at least in part to the weights and contents of the populated fields of the event schema; and

a means executed on the processor for indexing the event responsive at least in part to a comparison of the capture score and a threshold values the threshold value determined based at least in part on user behavior.

46. The system of claim 45, further comprising a means executed on the processor for storing the event responsive at least in part to a comparison of the capture score and a threshold value.