Search framework metadata

• US 20050278288A1
• Filed: 06/10/2004
• Published: 12/15/2005
• Est. Priority Date: 06/10/2004
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Pourmirzaie, Farrokh E., Plow, Gregory M.
• Granted Patent: US 7,836,411 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A user selectable evaluation indicia associated with a displayed unit of information within an application is provided. Responsive to a user interaction with the evaluation indicia, an evaluation opportunity is presented to the user. At least a portion of a user'"'"'s activities comprising the user participation is transformed, responsive to the user'"'"'s participation with the evaluation opportunity, into search framework metadata for the unit of information. The search framework metadata may facilitate ranking search results comprising the unit of information.

Claims

1. A computer implemented method for accumulating search framework metadata for a unit of information, comprising:

providing a user selectable evaluation indicia associated with a displayed unit of information within an application;

responsive to a user interaction with said evaluation indicia, presenting an evaluation opportunity; and

responsive to a user participation with said evaluation opportunity, transforming at least a portion of the user'"'"'s activities comprising said user participation into search framework metadata for said unit of information.

2. The method of claim 1, wherein said unit of information is a web page.

3. The method of claim 1, wherein said application is a browser.

4. The method of claim 1, wherein said evaluation indicia is selected from the group consisting of a button and a menu item.

5. The method of claim 1, wherein said evaluation opportunity comprises an evaluation window.

6. The method of claim 5, wherein said evaluation window comprises one or more entity types selected from a group of entity types consisting of check boxes, radio buttons, drop down lists and data input fields.

7. The method of claim 6 wherein entities of said entity types are organized by categories.

8. The method of claim 7 wherein each of said categories is selected from a group consisting of web page provider, appropriate audience and web page usage.

9. The method of claim 1 wherein said evaluation opportunity comprises a voice recognition component.

10. A computer implemented method for heuristic derivation of search framework metadata for a unit of information, comprising:

detecting a user'"'"'s use of a unit of information, wherein said unit of information is selected for usage by said user from a final result set;

monitoring said user'"'"'s use of said unit of information;

determining if said user'"'"'s use achieves at least one predetermined threshold; and

responsive to said predetermined threshold being achieved, deriving search framework metadata for said unit of information.

11. The method of claim 10 wherein said unit of information is a web page.

12. The method of claim 10 wherein said monitoring comprises determining a review time for said unit of information.

13. The method of claim 12 wherein said threshold is achieved when said review time is equal to or greater than a predetermined time value.

14. The method of claim 10 wherein said deriving of search framework metadata comprises incrementing a counter associated with a search framework profile characteristic and said unit of information.

15. The method of claim 14 wherein said deriving of search framework metadata further comprises dividing said counter by a web page access counter.

16. The method of claim 10 wherein said search framework metadata comprises at least one relative strength value.

17. A computer implemented method for accumulating explicitly specified search framework metadata for a unit of information, comprising:

crawling a network;

selecting a unit of information during said crawling of said network;

scanning said selected unit of information for search framework metadata tags; and

responsive to locating a search framework metadata tag, capturing search framework metadata associated with said search framework metadata tag.

18. The method of claim 17 wherein said unit of information is a web page.

19. The method of claim 17 wherein said network is a World Wide Web.

20. The method of claim 17 wherein said search framework metadata tag is a hierarchical tag.

21. The method of claim 20 wherein said accessed search framework metadata is associated with said unit of information and at least one child of said unit of information.

22. A computer implemented method for calculating composite relative strength values for search framework metadata associated with a unit of information, comprising:

accumulating search framework metadata for a search framework profile characteristic associated with a unit of information, wherein said search framework metadata comprises two or more metadata types; and

calculating a composite relative strength value for said search framework metadata wherein said calculation comprises associating a predetermined weighting to each of said metadata types, and averaging a relative strength value for each of said metadata types in accordance with said predetermined weightings.

23. The method of claim 22 wherein said unit of information is a web page.

24. The method of claim 22 further comprising averaging a plurality of said composite relative strength values associated with a plurality of said search framework profile characteristics wherein the resulting value of said averaging is a unit level composite relative strength value for said unit of information.

25. A system for accumulating search framework metadata for a unit of information, comprising:

a processor; and

a memory storing instructions that;

provide a user selectable evaluation indicia associated with a displayed unit of information within an application;

responsive to a user interaction with said evaluation indicia, present an evaluation opportunity; and

responsive to a user participation with said evaluation opportunity, transform at least a portion of the user'"'"'s activities comprising said user participation into search framework metadata for said unit of information.

26. The system of claim 25, wherein said unit of information is a web page.

27. The system of claim 25, wherein said application is a browser.

28. The system of claim 25, wherein said evaluation indicia is selected from the group consisting of a button and a menu item.

29. The system of claim 25, wherein said evaluation opportunity comprises an evaluation window.

30. The system of claim 29, wherein said evaluation window comprises one or more entity types selected from a group of entity types consisting of check boxes, radio buttons, drop down lists and data input fields.

31. The system of claim 30 wherein entities of said entity types are organized by categories.

32. The system of claim 31 wherein each of said categories is selected from a group consisting of web page provider, appropriate audience and web page usage.

33. The system of claim 25 wherein said evaluation opportunity comprises a voice recognition component.

34. A system for heuristic derivation of search framework metadata for a unit of information, comprising:

a processor; and

a memory storing instructions that;

detect a user'"'"'s use of a unit of information, wherein said unit of information is selected for usage by said user from a final result set;

monitor said user'"'"'s use of said unit of information;

determine if said user'"'"'s use achieves at least one predetermined threshold; and

responsive to said predetermined threshold being achieved, derive search framework metadata for said unit of information.

35. The system of claim 34 wherein said unit of information is a web page.

36. The system of claim 34 wherein said monitoring comprises determining a review time for said unit of information.

37. The system of claim 36 wherein said threshold is achieved when said review time is equal to or greater than a predetermined time value.

38. The system of claim 34 wherein said deriving of search framework metadata comprises incrementing a counter associated with a search framework profile characteristic and said unit of information.

39. The system of claim 38 wherein said deriving of search framework metadata further comprises dividing said counter by a web page access counter.

40. The system of claim 34 wherein said search framework metadata comprises at least one relative strength value.

41. An system for accumulating explicitly specified search framework metadata for a unit of information, comprising:

a processor; and

a memory storing instructions that;

crawl a network;

select a unit of information during said crawling of said network;

scan said selected unit of information for search framework metadata tags; and

responsive to locating a search framework metadata tag, capture search framework metadata associated with said search framework metadata tag.

42. The system of claim 41 wherein said unit of information is a web page.

43. The system of claim 41 wherein said network is a World Wide Web.

44. The system of claim 41 wherein said search framework metadata tag is a hierarchical tag.

45. The system of claim 44 wherein said accessed search framework metadata is associated with said unit of information and at least one child of said unit of information.

46. A system for calculating composite relative strength values for search framework metadata associated with a unit of information, comprising:

a processor; and

a memory storing instructions that;

accumulate search framework metadata for a search framework profile characteristic associated with a unit of information, wherein said search framework metadata comprises two or more metadata types; and

calculate a composite relative strength value for said search framework metadata wherein said calculation comprises associating a predetermined weighting to each of said metadata types, and averaging a relative strength value for each of said metadata types in accordance with said predetermined weightings.

47. The system of claim 46 wherein said unit of information is a web page.

48. The system of claim 46 wherein said memory further stores instructions that average a plurality of said composite relative strength values associated with a plurality of said search framework profile characteristics and wherein the resulting value of said averaging is a unit level composite relative strength value for said unit of information.

49. An article of manufacture for use in a computer system tangibly embodying computer instructions executable by said computer system to perform process steps for accumulating search framework metadata for a unit of information, said process steps comprising:

providing a user selectable evaluation indicia associated with a displayed unit of information within an application;

responsive to a user interaction with said evaluation indicia, presenting an evaluation opportunity; and

responsive to a user participation with said evaluation opportunity, transforming at least a portion of the user'"'"'s activities comprising said user participation into search framework metadata for said unit of information.

50. The article of manufacture of claim 49, wherein said unit of information is a web page.

51. The article of manufacture of claim 49, wherein said application is a browser.

52. The article of manufacture of claim 49, wherein said evaluation indicia is selected from the group consisting of a button and a menu item.

53. The article of manufacture of claim 49, wherein said evaluation opportunity comprises an evaluation window.

54. The article of manufacture of claim 53, wherein said evaluation window comprises one or more entity types selected from a group of entity types consisting of check boxes, radio buttons, drop down lists and data input fields.

55. The article of manufacture of claim 54 wherein entities of said entity types are organized by categories.

56. The article of manufacture of claim 55 wherein each of said categories is selected from a group consisting of web page provider, appropriate audience and web page usage.

57. The article of manufacture of claim 49 wherein said evaluation opportunity comprises a voice recognition component.

58. An article of manufacture for use in a computer system tangibly embodying computer instructions executable by said computer system to perform process steps for heuristic derivation of search framework metadata for a unit of information, said process steps comprising:

detecting a user'"'"'s use of a unit of information, wherein said unit of information is selected for usage by said user from a final result set;

monitoring said user'"'"'s use of said unit of information;

determining if said user'"'"'s use achieves at least one predetermined threshold; and

responsive to said predetermined threshold being achieved, deriving search framework metadata for said unit of information.

59. The article of manufacture of claim 58 wherein said unit of information is a web page.

60. The article of manufacture of claim 58 wherein said monitoring comprises determining a review time for said unit of information.

61. The article of manufacture of claim 60 wherein said threshold is achieved when said review time is equal to or greater than a predetermined time value.

62. The article of manufacture of claim 58 wherein said deriving of search framework metadata comprises incrementing a counter associated with a search framework profile characteristic and said unit of information.

63. The article of manufacture of claim 62 wherein said deriving of search framework metadata further comprises dividing said counter by a web page access counter.

64. The article of manufacture of claim 58 wherein said search framework metadata comprises at least one relative strength value.

65. An article of manufacture for use in a computer system tangibly embodying computer instructions executable by said computer system to perform process steps for accumulating explicitly specified search framework metadata for a unit of information, said process steps comprising:

crawling a network;

selecting a unit of information during said crawling of said network;

scanning said selected unit of information for search framework metadata tags; and

responsive to locating a search framework metadata tag, capturing search framework metadata associated with said search framework metadata tag.

66. The article of manufacture of claim 65 wherein said unit of information is a web page.

67. The article of manufacture of claim 65 wherein said network is a World Wide Web.

68. The article of manufacture of claim 65 wherein said search framework metadata tag is a hierarchical tag.

69. The article of manufacture of claim 68 wherein said accessed search framework metadata is associated with said unit of information and at least one child of said unit of information.

70. An article of manufacture for use in a computer system tangibly embodying computer instructions executable by said computer system to perform process steps for calculating composite relative strength values for search framework metadata associated with a unit of information, said process steps comprising:

accumulating search framework metadata for a search framework profile characteristic associated with a unit of information, wherein said search framework metadata comprises two or more metadata types; and

calculating a composite relative strength value for said search framework metadata wherein said calculation comprises associating a predetermined weighting to each of said metadata types, and averaging a relative strength value for each of said metadata types in accordance with said predetermined weightings.

71. The article of manufacture of claim 70 wherein said unit of information is a web page.

72. The article of manufacture of claim 70 further comprising averaging a plurality of said composite relative strength values associated with a plurality of said search framework profile characteristics wherein the resulting value of said averaging is a unit level composite relative strength value for said unit of information.