Indexing for contexual revisitation and digest generation

• US 20050138067A1
• Filed: 12/19/2003
• Published: 06/23/2005
• Est. Priority Date: 12/19/2003
• Status: Abandoned Application

• Current Assignee: Fuji Xerox Company Limited (Xerox Holdings Corp.)
• Original Assignee: Fuji Xerox Company Limited (Xerox Holdings Corp.)
• Inventors: Denoue, Laurent, Golovchinsky, Gene, Hilbert, David M., Billsus, Daniel-Alexander, Culy, Christopher D., Trevor, Jonathan J.
• Application Number:
  US10/739,180
• Publication Number:
  US 20050138067A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]

Abstract

A medium, system and method of generating an information digest document. In various exemplary embodiments, the medium, system and/or method may include determining associated previously accessed content information in response to a user-defined digest specification, and generating a digest document of the associated previously accessed content information.

Claims

1. A method of generating an information digest, the method comprising:

determining associated previously accessed content information in response to a user-defined digest specification; and

generating a digest document of the associated previously accessed content information.

2. The method according to claim 1, further comprising creating a focused summary for the content information.

3. The method according to claim 1, further comprising providing a function to the user to iteratively define, based on the digest document generated, a new digest specification and regenerating another digest document according to the new digest specification.

4. The method according to claim 1, wherein said user-defined digest specification includes at least an action performed on a document containing content information, the action comprising one or more of at least a retrieve document action, an open document action, a save document action, a file document action, an edit document action, a delete document action, a forward document action and a bookmark document action.

5. The method according to claim 1, further comprising processing the content information such that it is included in the group of previously accessed content information.

6. The method according to claim 5, wherein processing the information comprises extracting the information from the document.

7. The method according to claim 6, wherein processing the information further comprises providing the extracted information to a media storage device.

8. The method according to claim 7, wherein providing the extracted information to the media storage device comprises periodically providing the extracted information to the media storage device.

9. The method according to claim 7, wherein the information is text information and processing the information further comprises converting the extracted information into a text representation scheme.

10. The method according to claim 9, wherein processing the information further comprises determining at least a similarity score that quantifies the similarity of the converted information and previously accessed content.

11. The method according to claim 10, wherein processing the information further comprises additionally determining, from the group of previously accessed content information and the converted information, a set of content information having similarity scores that exceed a similarity threshold.

12. The method according to claim 11, wherein said additionally determining is performed using an inverted index technique.

13. The method according to claim 12, wherein said additionally determining comprises generating a query based on the converted information.

14. The method according to claim 12, wherein processing the information further comprises adding the converted information to a group or an inverted index that includes the previously accessed content information.

15. The method according to claim 11, wherein processing the information further comprises determining a ranking of content information based at least on similarity scores.

16. The method according to claim 1, wherein the associated content information is part of at least a computer application document, a text message, an email message, a calendar entry or a web page.

17. The method according to claim 1, wherein the associated content information is selected from the list comprising at least:

entire pages, individual text characters contained within a page, words, phrases, text-lines, sentences, paragraphs, columns of text, blocks of text, text articles, multi-page documents, collections of single-page documents, and collections of multi-page documents.

18. The method according to claim 1, wherein the associated previously accessed content is determined regardless of the type of computer application that caused the content to be included in the group of previously accessed content.

19. A machine-readable medium that provides instructions for generating an information digest, instructions that, when executed by a processor, cause the processor to perform operations comprising:

determining associated previously accessed content information in response to a user-defined digest specification; and

generating a digest document of the associated previously accessed content information.

20. The machine-readable medium according to claim 19, further comprising creating a focused summary for the content information.

21. The machine-readable medium according to claim 19, further comprising providing a function to the user to iteratively define, based on the digest document generated, a new digest specification and regenerating another digest document according to the new digest specification.

22. The machine-readable medium according to claim 19, wherein said user-defined digest specification includes at least an action performed on a document containing content information, the action comprising one or more of at least a retrieve document action, an open document action, a save document action, a file document action, an edit document action, a delete document action, a forward document action and a bookmark document action.

23. The machine-readable medium according to claim 19, further comprising processing the content information such that it is included in the group of previously accessed content information.

24. The machine-readable medium according to claim 23, wherein processing the information comprises extracting the information from the document.

25. The machine-readable medium according to claim 24, wherein processing the information further comprises providing the extracted information to a media storage device.

26. The machine-readable medium according to claim 25, wherein providing the extracted information to the media storage device comprises periodically providing the extracted information to the media storage device.

27. The machine-readable medium according to claim 25, wherein the information is text information and processing the information further comprises converting the extracted information into a text representation scheme.

28. The machine-readable medium according to claim 27, wherein processing the information further comprises determining at least a similarity score that quantifies the similarity of the converted information and previously accessed content.

29. The machine-readable medium according to claim 28, wherein processing the information further comprises additionally determining, from the group of previously accessed content information and the converted information, a set of content information having similarity scores that exceed a similarity threshold.

30. The machine-readable medium according to claim 29, wherein said additionally determining is performed using an inverted index technique.

31. The machine-readable medium according to claim 30, wherein said additionally determining comprises generating a query based on the converted information.

32. The machine-readable medium according to claim 30 wherein processing the information further comprises adding the converted information to a group or an inverted index that includes the previously accessed content information.

33. The machine-readable medium according to claim 29, wherein processing the information further comprises determining a ranking of content information based at least on similarity scores.

34. The machine-readable medium according to claim 19, wherein the associated content information is part of at least a computer application document, a text message, an email message, a calendar entry or a web page.

35. The machine-readable medium according to claim 19, wherein the associated content information is selected from the list comprising at least:

entire pages, individual text characters contained within a page, words, phrases, text-lines, sentences, paragraphs, columns of text, blocks of text, text articles, multi-page documents, collections of single-page documents, and collections of multi-page documents.

36. The machine-readable medium according to claim 19, wherein the associated previously accessed content is determined regardless of the type of computer application that caused the content to be included in the group of previously accessed content.

37. An information digest generating system comprising:

a memory; and

a controller that;

determines associated previously accessed content information in response to a user-defined digest specification; and

generates a digest document of the associated previously accessed content information.

38. The information digest generating system according to claim 37, further comprising creating a focused summary for the content information.

39. The information digest generating system according to claim 37, further comprising providing a function to the user to iteratively define, based on the digest document generated, a new digest specification and regenerating another digest document according to the new digest specification.

40. The information digest generating system according to claim 37, wherein said user-defined digest specification includes at least an action performed on a document containing content information, the action comprising one or more of at least a retrieve document action, an open document action, a save document action, a file document action, an edit document action, a delete document action, a forward document action and a bookmark document action.

41. The information digest generating system according to claim 37, further comprising processing the content information such that it is included in the group of previously accessed content information.

42. The information digest generating system according to claim 41, wherein processing the information comprises extracting the information from the document.

43. The information digest generating system according to claim 42, wherein processing the information further comprises providing the extracted information to a media storage device.

44. The information digest generating system according to claim 43, wherein providing the extracted information to the media storage device comprises periodically providing the extracted information to the media storage device.

45. The information digest generating system according to claim 43, wherein the information is text information and processing the information further comprises converting the extracted information into a text representation scheme.

46. The information digest generating system according to claim 45, wherein processing the information further comprises determining at least a similarity score that quantifies the similarity of the converted information and previously accessed content.

47. The information digest generating system according to claim 46, wherein processing the information further comprises additionally determining, from the group of previously accessed content information and the converted information, a set of content information having similarity scores that exceed a similarity threshold.

48. The information digest generating system according to claim 47, wherein said additionally determining is performed using an inverted index technique.

49. The information digest generating system according to claim 48, wherein said additionally determining comprises generating a query based on the converted information.

50. The information digest generating system according to claim 48, wherein processing the information further comprises adding the converted information to a group or an inverted index that includes the previously accessed content information.

51. The information digest generating system according to claim 47, wherein processing the information further comprises determining a ranking of content information based at least on similarity scores.

52. The information digest generating system according to claim 37, wherein the associated content information is part of at least a computer application document, a text message, an email message, a calendar entry or a web page.

53. The information digest generating system according to claim 37, wherein the associated content information is selected from the list comprising at least:

entire pages, individual text characters contained within a page, words, phrases, text-lines, sentences, paragraphs, columns of text, blocks of text, text articles, multi-page documents, collections of single-page documents, and collections of multi-page documents.

54. The information digest generating system according to claim 37, wherein the associated previously accessed content is determined regardless of the type of computer application that caused the content to be included in the group of previously accessed content.