Systems and methods for recommendation of personal network

• US 20060074932A1
• Filed: 09/30/2004
• Published: 04/06/2006
• Est. Priority Date: 09/30/2004
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Veeraraghavan, Venkatesh, Fong, Bryant, Hilke, James Coryell, Deshpande, Pawan
• Application Number:
  US10/955,471
• Publication Number:
  US 20060074932A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Systems and methods for automatically recommending a personal network. The systems can include a review module programmed to review communication information. The systems can also include a recommend module in data communication with the review module, the recommend module being programmed to identify one or more contacts from the communication information to be included in a personal network. The recommend module can use a significance function to weight the communication information and rank the contacts identified in the communication information.

Claims

1. A computing system for automatically recommending a personal network, comprising:

a review module programmed to review communication information;

a recommend module in data communication with the review module, the recommend module being programmed to identify one or more contacts from the communication information and to recommend the contacts to a user for inclusion in a personal network; and

a builder module in data communication with the recommend module, the builder module being programmed to build the personal network based on specific contacts selected by the user from the contacts identified by the recommend module.

2. The system of claim 1, wherein the review module is programmed to review the communication information selected from a group consisting of electronic mail, contacts, meetings, group memberships, and distribution lists.

3. The system of claim 1, wherein the recommend module is programmed to use a significance function to rank the contacts.

4. The system of claim 1, wherein the recommend module is programmed to recommend a specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent by the specific contact, size of distribution list for each electronic mail sent by the specific contact, and date of each electronic mail sent by the specific contact.

5. The system of claim 1, wherein the recommend module is programmed to recommend a specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent to the specific contact, size of distribution list for each electronic mail sent to the specific contact, and date of each electronic mail sent to the specific contact.

6. The system of claim 1, wherein the recommend module is programmed to recommend a specific contact based on one or more criteria selected from a group consisting of number of attendees at a meeting with the specific contact, date of a meeting with the specific contact, and status of a meeting with a specific contact.

7. The system of claim 1, further comprising:

a verify module programmed to verify whether a specific contact is a member of a relevant group; and

a resolve module programmed to resolve contact information for the specific contact.

8. The system of claim 1, wherein the review module is programmed to review multiple types of communication information, and wherein the recommend module is programmed to recommend the contacts from the multiple types of communication information.

9. The system of claim 8, wherein the recommend module weights contacts in the multiple types of communication information based on in which type of communication information a specific contact is found.

10. The system of claim 1, wherein the review module is programmed to automatically review the communication information.

11. The system of claim 1, wherein the review module is programmed to periodically review the communication information.

12. A method for automatically recommending a personal network, comprising:

reviewing communication information stored on one or more computing systems;

identifying one or more contacts from the communication information to be included in a personal network;

displaying the contacts to a user; and

allowing the user to select specific contacts for inclusion in the personal network.

13. The method of claim 12, wherein the step of reviewing further comprises selecting communication information from a group consisting of electronic mail and meetings.

14. The method of claim 12, wherein the step of reviewing further comprises selecting communication information from a group consisting of electronic mail, contacts, meetings, group memberships, and distribution lists.

15. The method of claim 12, wherein the step of identifying further comprises ranking the contacts.

16. The method of claim 15, wherein the step of ranking further comprises using a significance function to rank the contacts.

17. The method of claim 15, wherein the step of ranking further comprises identifying a significance of each communication between the contacts and the user.

18. The method of claim 12, wherein the step of identifying further comprises:

reviewing electronic mail sent by a specific contact to the user; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent by the specific contact, size of distribution list for each electronic mail sent by the specific contact, and date of each electronic mail sent by the specific contact.

19. The method of claim 12, wherein the step of identifying further comprises:

reviewing electronic mail sent by a specific contact to the user; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent by the specific contact, size of distribution list for each electronic mail sent by the specific contact, date of each electronic mail sent by the specific contact, read status of each electronic sent by the specific contact, frequency of electronic mails sent by the specific contact;

size of each electronic mail sent by the specific contact, message content of each electronic mails sent by the contact, and status of the user in each electronic mail sent by the specific contact.

20. The method of claim 12, wherein the step of identifying further comprises:

reviewing electronic mail sent by the user to a specific contact; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent to the specific contact, size of distribution list for each electronic mail sent to the specific contact, and date of each electronic mail sent to the specific contact.

21. The method of claim 12, wherein the step of identifying further comprises:

reviewing electronic mail sent by the user to a specific contact; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent to the specific contact, size of distribution list for each electronic mail sent to the specific contact, date of each electronic mail sent to the specific contact, frequency of electronic mails sent to the specific contact;

size of each electronic mail sent to the specific contact, message content of each electronic mails sent to the contact, and status of the specific contact in each electronic mail sent by the specific contact.

22. The method of claim 12, wherein the step of identifying further comprises:

reviewing the user'"'"'s meetings; and

ranking a specific contact included in one or more of the meetings based on one or more criteria selected from a group consisting of number of attendees at each meeting with the specific contact, date of each meeting with the specific contact, and status of each meeting with the specific contact.

23. The method of claim 12, wherein the step of identifying further comprises:

reviewing the user'"'"'s meetings; and

ranking a specific contact included in one or more of the meetings based on one or more criteria selected from a group consisting of number of attendees at each meeting with the specific contact, date of each meeting with the specific contact, status of each meeting with the specific contact, duration of each meeting with the specific contact, and frequency of meetings with the specific contact.

24. The method of claim 12, wherein the step of identifying further comprises:

reviewing electronic mail sent by the user to a specific distribution list; and

ranking specific contacts in the specific distribution list based on one or more criteria selected from a group consisting of number of members of the specific distribution list and mutual membership between multiple distribution lists including the specific distribution list.

25. The method of claim 12, wherein the step of identifying further comprises:

reviewing electronic mail sent to a specific distribution list including the user; and

ranking specific contacts in the specific distribution list based on one or more criteria selected from a group consisting of number of members of the specific distribution list and mutual membership between multiple distribution lists including the specific distribution list.

26. The method of claim 12, wherein the step of identifying further comprises grouping the contacts into one or more groups.

27. The method of claim 26, wherein the step of grouping further comprises developing a matrix to group the contacts into the groups.

28. The method of claim 12, further comprising resolving contact information for the specific contacts.

29. The method of claim 12, further comprising verifying whether a specific contact of the contacts is a member of a relevant group.

30. The method of claim 29, wherein the step of verifying further comprises checking whether the specific contact has a profile for the relevant group.

31. The method of claim 12, wherein the step of reviewing further comprises reviewing multiple types of communication information.

32. The method of claim 31, wherein the step of identifying further comprises weighting contacts in the multiple types of communication information based on in which type of communication information a specific contact is found.

33. The method of claim 12, wherein the step of reviewing communication information is performed automatically.

34. The method of claim 12, wherein the step of reviewing communication information is performed periodically.

35. A computer program product readable by a computer and encoding instructions for executing the method recited in claim 12.

36. A method for building a personal network, comprising:

retrieving communication information;

identifying one or more contacts in the communication information;

verifying whether each contact is a member of a relevant group; and

recommending one or more of the contacts that are members of the relevant group to be included in a personal network.

37. The method of claim 36, wherein the step of verifying further comprises checking if each contact has a profile for the relevant group.

38. The method of claim 36, further comprising removing a specific contact from recommendation if the specific contact does not have a profile for the relevant group.

39. The method of claim 36, wherein the step of recommending further comprises displaying the recommended contacts.

40. The method of claim 36, wherein the step of retrieving further comprises selecting communication information from a group consisting of electronic mail, contacts, meetings, and distribution lists.

41. The method of claim 36, wherein the step of identifying further comprises using a significance function to rank the contacts.

42. The method of claim 36, wherein the step of recommending further comprises:

reviewing electronic mail sent by a specific contact to an individual; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent by the specific contact, size of distribution list for each electronic mail sent by the specific contact, and date of each electronic mail sent by the specific contact.

43. The method of claim 36, wherein the step of recommending further comprises:

reviewing electronic mail sent by an individual to a specific contact; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent to the specific contact, size of distribution list for each electronic mail sent to the specific contact, and date of each electronic mail sent to the specific contact.

44. The method of claim 36, wherein the step of recommending further comprises:

reviewing an individual'"'"'s meetings; and

ranking a specific contact included in one or more of the meetings based on one or more criteria selected from a group consisting of number of attendees at each meeting with the specific contact, date of each meeting with the specific contact, and status of each meeting with the specific contact.

45. The method of claim 36, further comprising resolving contact information for a specific contact.

46. The method of claim 36, wherein the step of retrieving further comprises retrieving multiple types of communication information.

47. The method of claim 46, wherein the step of identifying further comprises weighting contacts in the multiple types of communication information based on in which type of communication information a specific contact is found.

48. The method of claim 36, wherein the step of retrieving communication information is performed automatically.

49. The method of claim 36, wherein the step of retrieving communication information is performed periodically.

50. A computer program product readable by a computer and encoding instructions for executing the method recited in claim 36.

51. A computer-readable medium having computer-executable instructions for performing steps comprising:

retrieving communication information;

identifying one or more contacts in the communication information;

verifying whether each contact is a member of a relevant group; and

recommending one or more of the contacts that are members of the relevant group to be included in a personal network.

52. The computer-readable medium of claim 51, wherein the step of verifying further comprises checking if each contact has a profile for the relevant group.

53. The computer-readable medium of claim 51, further comprising removing a specific contact from recommendation if the specific contact does not have a profile for the relevant group.

54. The computer-readable medium of claim 51, wherein the step of recommending further comprises displaying the recommended contacts.

55. The computer-readable medium of claim 51, wherein the step of retrieving further comprises selecting communication information from a group consisting of electronic mail, contacts, meetings, and distribution lists.

56. The computer-readable medium of claim 51, wherein the step of identifying further comprises using a significance function to rank the contacts.

57. The computer-readable medium of claim 51, wherein the step of recommending further comprises:

reviewing electronic mail sent by a specific contact to an individual; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent by the specific contact, size of distribution list for each electronic mail sent by the specific contact, and date of each electronic mail sent by the specific contact.

58. The computer-readable medium of claim 51, wherein the step of recommending further comprises:

reviewing electronic mail sent by an individual to a specific contact; and

ranking the specific contact based on one or more criteria selected from a group consisting of number of electronic mails sent to the specific contact, size of distribution list for each electronic mail sent to the specific contact, and date of each electronic mail sent to the specific contact.

59. The computer-readable medium of claim 51, wherein the step of recommending further comprises:

reviewing an individual'"'"'s meetings; and

ranking a specific contact included in one or more of the meetings based on one or more criteria selected from a group consisting of number of attendees at each meeting with the specific contact, date of each meeting with the specific contact, and status of each meeting with the specific contact.

60. The computer-readable medium of claim 51, further comprising resolving contact information for a specific contact.

61. The computer-readable medium of claim 51, wherein the step of retrieving further comprises retrieving multiple types of communication information.

62. The computer-readable medium of claim 61, wherein the step of identifying further comprises weighting contacts in the multiple types of communication information based on in which type of communication information a specific contact is found.

63. The computer-readable medium of claim 51, wherein the step of retrieving communication information is performed automatically.

64. The computer-readable medium of claim 51, wherein the step of retrieving communication information is performed periodically.