Indexing for contextual revisitation and digest generation

• US 7,363,294 B2
• Filed: 12/19/2003
• Issued: 04/22/2008
• Est. Priority Date: 12/19/2003
• Status: Expired due to Fees

• Current Assignee: Fuji Xerox Company Limited (Fujifilm Holdings Corporation)
• Original Assignee: Fuji Xerox Company Limited (Fujifilm Holdings Corporation)
• Inventors: Denoue, Laurent, Golovchinsky, Gene, Hilbert, David M., Billsus, Daniel-Alexander, Culy, Christopher D., Trevor, Jonathan J.
• Primary Examiner(s): Corrielus; Jean M.
• Application Number:
  US10/739,185
• Publication Number:
  US 20050137996A1
• Time in Patent Office: 1,586 Days
• Field of Search: 707/3, 707/4, 707/10, 709/217, 709/218
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3347 using vector based model
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

A medium, system and method of processing content information. In one exemplary embodiment, the medium, system and method include determining associated previously accessed content information in response to an action performed on a document containing information and based on a context of the information, and indicating to a user the determined associated content information.

Claims

1. A method of processing content information, the method comprising:

automatically determining, based on information contained in a document currently being displayed by a user, an associated previously accessed content information, wherein said determining comprises;

extracting at least a portion of the information contained in the document currently being displayed by the user;

searching a previously accessed content for the associated previously accessed content information based on a context of the information contained in the currently displayed document, wherein the context of the information contained in the currently displayed document is determined by the at least a portion of the information extracted from the document currently being displayed the user; and

transmitting the associated previously accessed content information to the user.

2. The method according to claim 1, further comprising processing the information in the document to include the information in the group of previously accessed content information.

3. The method according to claim 2, wherein processing the information comprises extracting the information from the document.

4. The method according to claim 3, wherein processing the information further comprises providing the extracted information to a media storage device.

5. The method according to claim 4, wherein providing the extracted information to the media storage device comprises periodically providing the extracted information to the media storage device.

6. The method according to claim 4, wherein the information is text information and processing the information further comprises converting the extracted information into a text representation scheme.

7. The method according to claim 6, wherein processing the information further comprises determining at least a similarity score qualifying the similarity of the converted information and previously accessed content.

8. The method according to claim 7, 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 exceeding a similarity threshold.

9. The method according to claim 8, wherein said additionally determining is performed using an inverted index technique.

10. The method according to claim 9, wherein said additionally determining comprises querying the index using an automatically generated text query, based on the converted information.

11. The method according to claim 9, wherein processing the information further comprises adding the converted information to an inverted index comprising the previously accessed content information.

12. The method according to claim 8, wherein processing the information further comprises determining a ranking of content information based at least on similarity scores.

13. 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.

14. The method according to claim 1, wherein the associated content information is selected from a group 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.

15. The method according to claim 1, wherein the associated previously accessed content information is determined regardless of the type of computer application.

16. The method according to claim 1, further comprising generating a digest document of the associated content information.

17. The method according to claim 16, further comprising creating a focused summary for the associated content information.

31. The method according to claim 1, wherein the associated content information is selected from a group 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.

32. The method according to claim 1, wherein the associated previously accessed content information is determined regardless of the type of computer application.

50. The method according to claim 1, wherein the associated content information is selected from a group 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.

51. The method according to claim 1, wherein the associated previously accessed content information is determined regardless of the type of computer application.

18. A machine-readable medium embodying instructions for processing information, instructions which, when executed by a processor, cause the processor to perform operations comprising:

automatically determining, based on information contained in a document currently being displayed by a user, an associated previously accessed content information, wherein said determining comprises;

extracting at least a portion of the information contained in the document currently being displayed by the user;

searching a previously accessed content for the associated previously accessed content information based on a context of the information contained in the currently displayed document;

wherein the context of the information contained in the currently displayed document is determined by the at least a portion of the information extracted from the document currently being displayed the user; and

transmitting the associated previously accessed content information to the user.

19. The machine-readable medium according to claim 18, further comprising processing the information in the document to include the information in the group of previously accessed content information.

20. The machine-readable medium according to claim 19, wherein processing the information comprises extracting the information from the document.

21. The machine-readable medium according to claim 20, wherein processing the information further comprises providing the extracted information to a media storage device.

22. The machine-readable medium according to claim 21, wherein providing the extracted information to the media storage device comprises periodically providing the extracted information to the media storage device.

23. The machine-readable medium according to claim 21, wherein the information is text information and processing the information further comprises converting the extracted information into a text representation scheme.

24. The machine-readable medium according to claim 23, wherein processing the information further comprises determining at least a similarity score quantifying the similarity of the converted information and previously accessed content.

25. The machine-readable medium according to claim 24, 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 exceeding a similarity threshold.

26. The machine-readable medium according to claim 25, wherein said additionally determining is performed using an inverted index technique.

27. The machine-readable medium according to claim 26, wherein said additionally determining comprises querying the index using an automatically generated text query, based on the converted information.

28. The machine-readable medium according to claim 26, wherein processing the information further comprises adding the converted information to an inverted index comprising the previously accessed content information.

29. The machine-readable medium according to claim 25, wherein processing the information further comprises determining a ranking of content information based at least on similarity scores.

30. The machine-readable medium according to claim 18, 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.

33. The machine-readable medium according to claim 18, wherein said indicating comprises generating a digest document of the associated content information.

34. The machine-readable medium according to claim 18, further comprising creating a focused summary for the associated content information.

35. An information processing system comprising:

a memory; and

a controller operable to;

automatically determining, based on information contained in a document currently being displayed by a user, an associated previously accessed content information, wherein said determining comprises;

extracting at least a portion of the information contained in the document currently being displayed by the user;

searching a previously accessed content for the associated previously accessed content information based on a context of the information contained in the currently displayed document;

wherein the context of the information contained in the currently displayed document is determined by the at least a portion of the information extracted from the document currently being displayed the user; and

transmitting the associated previously accessed content information to the user.

36. The system according to claim 35, further comprising a client module and a server module.

37. The system according to claim 36, wherein at least the client module is embedded into an application used to access the document containing information.

38. The system according to claim 35, further comprising processing the information in the document to include the information in the group of previously accessed content information.

39. The system according to claim 38, wherein processing the information comprises extracting the information from the document.

40. The system according to claim 39, wherein processing the information further comprises providing the extracted information to a media storage device.

41. The system according to claim 40, wherein providing the extracted information to the media storage device comprises periodically providing the extracted information to the media storage device.

42. The system according to claim 40, wherein the information is text information and processing the information further comprises converting the extracted information into a text representation scheme.

43. The system according to claim 42, wherein processing the information further comprises determining at least a similarity score quantifying the similarity of the converted information and previously accessed content.

44. The system according to claim 43, 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 exceeding a similarity threshold.

45. The system according to claim 44, wherein said additionally determining is performed using an inverted index technique.

46. The system according to claim 45, wherein said additionally determining comprises querying the index using an automatically generated text query, based on the converted information.

47. The system according to claim 45, wherein processing the information further comprises adding the converted information to an inverted index comprising the previously accessed content information.

48. The system according to claim 44, wherein processing the information further comprises determining a ranking of content information based at least on similarity scores.

49. The system according to claim 35, 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.

52. The system according to claim 35, wherein said indicating comprises generating a digest document of the associated content information.

53. The system according to claim 52, further comprising creating a focused summary for the associated content information.

54. A machine-readable medium in a client module, the machine-readable medium embodying instructions for processing information, instructions, which, when executed by a processor, cause the processor to perform operations comprising:

extracting text from one or more accessed documents currently being displayed by a user;

proactively transmitting the extracted text to a server module;

proactively automatically determining previously accessed content information associated with the extracted text wherein said determining comprising;

searching a previously accessed content for the associated previously accessed content information based on a context of the information contained in the currently displayed document;

wherein the context of the information contained in the currently displayed document is determined by the at least a portion of the text extracted from the document currently being displayed the user; and

transmitting the associated previously accessed content information to the user based on a response received from the server module.

55. The machine-readable medium of claim 54 further comprising providing an electronic connection to the determined associated content information.

56. The machine-readable medium of claim 54, wherein the client module is embedded into a host computer application.

57. The machine-readable medium of claim 54, wherein the client module and the server module are provided on separate computing devices.