System and method for profiling clients within a system for harvesting community knowledge

• US 20030217106A1
• Filed: 03/25/2002
• Published: 11/20/2003
• Est. Priority Date: 03/25/2002
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Lukose, Rajan Mathew, Adar, Eytan, Sengupta, Caesar, Tyler, Joshua Rogers
• Application Number:
  US10/106,096
• Publication Number:
  US 20030217106A1
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

A privacy-preserving system and method is disclosed for profiling clients within a system for knowledge management. The method of the present invention discloses steps for generating a client profile in support of receiving and processing messages using scoring techniques and/or filtering techniques. The method of the present invention further includes steps for generating a client profile in support of a method for generating and obtaining responses to messages using scoring techniques and/or filtering techniques. The system of the present invention, includes all means for implementing the method.

Claims

1. A method for knowledge management, comprising:

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a client profile from the data target information;

storing the profile on a client computer;

receiving a message; and

scoring the message with respect to the profile.

2. The method of claim 1 wherein the collecting element includes:

retrieving stored data target information.

3. The method of claim 1 wherein the collecting element includes:

capturing real-time data target information.

4. The method of claim 1 wherein the accessing element includes accessing messages.

5. The method of claim 1 wherein the accessing element includes accessing email.

6. The method of claim 1 wherein the accessing element includes accessing files.

7. The method of claim 1 wherein the accessing element includes accessing web pages.

8. The method of claim 1 wherein the accessing element includes accessing installed hardware.

9. The method of claim 1 wherein the accessing element includes accessing installed software.

10. The method of claim 2 wherein the retrieving element includes retrieving information stored on the client computer.

11. The method of claim 2 wherein the retrieving element includes retrieving information stored on a network.

12. The method of claim 3 wherein the capturing element includes capturing user commands.

13. The method of claim 3 wherein the capturing element includes capturing cached data.

14. The method of claim 1 wherein the generating element includes analyzing the data target information using data mining techniques.

15. The method of claim 1 wherein the generating element includes identifying structured data items within the data target information.

16. The method of claim 1 wherein the generating element includes generating a positive client profile.

17. The method of claim 1 wherein the generating element includes generating a negative client profile.

18. The method of claim 1 wherein the storing element includes storing the structured data items in the client profile.

19. The method of claim 1 wherein the generating element includes:

identifying unstructured data items within the data target information; and

performing a statistical analysis on the unstructured data.

20. The method of claim 19 wherein the performing element includes:

identifying a set of keywords; and

calculating a frequency of occurrence of each keyword within the unstructured data.

21. The method of claim 19 wherein the performing element includes:

identifying a set of key phrases; and

calculating a frequency of occurrence of each key phrase within the unstructured data.

22. The method of claim 19 wherein the storing element includes storing the statistical analysis in the client profile.

23. The method of claim 1 further comprising:

supplementing the client profile with information provided explicitly by a user.

24. The method of claim 1 wherein the storing element includes storing the client profile only on the client computer.

25. The method of claim 1 wherein the storing element includes encrypting the client profile.

26. The method of claim 1 wherein the storing element includes password protecting the client profile.

27. The method of claim 1 wherein the scoring element includes:

identifying a filtering criteria within the message;

associating a first value with those filter criteria found within the profile;

associating a second value, which is lower than the first value, with those filter criteria not found within the profile;

assigning a weighted percentage to the message score and each filter criteria; and

calculating an overall message score by combining the weighted percentages.

28. A method for knowledge management, comprising:

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a client profile from the data target information;

storing the profile on a client computer;

accessing a web page; and

scoring the web page with respect to the profile.

29. A method for knowledge management, comprising:

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a client profile from the data target information;

storing the profile on a client computer;

receiving an e-mail; and

scoring the e-mail with respect to the profile.

30. A method for knowledge management, comprising:

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a client profile from the data target information;

storing the profile on a client computer;

opening a file; and

scoring the file with respect to the profile.

31. A method for knowledge management, comprising:

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a client profile from the data target information;

storing the profile on a client computer;

receiving a message including filtering criteria; and

displaying the message on the computer if the filtering criteria is found within the profile.

32. A method for knowledge management, comprising:

generating a message;

transmitting the message from a sending client to a set of receiving clients;

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a receiving client profile from the data target information;

scoring the message with respect to the profile; and

displaying the message on a receiving client'"'"'s computer.

33. A method for knowledge management, comprising:

generating a message including filtering criteria;

transmitting the message from a sending client to a set of receiving clients;

accessing a predetermined set of data targets;

collecting data target information from the data targets;

generating a receiving client profile from the data target information;

scoring the message with respect to the profile; and

displaying the message on the receiving client'"'"'s computer if the filtering criteria is found within the profile.

34. A system for knowledge management, comprising:

means for accessing a predetermined set of data targets;

means for collecting data target information from the data targets;

means for generating a client profile from the data target information;

means for storing the profile on a client computer;

means for receiving a message; and

means for scoring the message with respect to the profile.

35. A system for knowledge management, comprising:

means for accessing a predetermined set of data targets;

means for collecting data target information from the data targets;

means for generating a client profile from the data target information;

means for storing the profile on a client computer;

means for receiving a message including filtering criteria; and

means for displaying the message on the computer if the filtering criteria is found within the profile.

36. A system for knowledge management, comprising:

means for generating a message;

means for transmitting the message from a sending client to a set of receiving clients;

means for accessing a predetermined set of data targets;

means for collecting data target information from the data targets;

means for generating a receiving client profile from the data target information;

means for scoring the message with respect to the profile; and

means for displaying the message on a receiving client'"'"'s computer.

37. A system for knowledge management, comprising:

means for generating a message including filtering criteria;

means for transmitting the message from a sending client to a set of receiving clients;

means for accessing a predetermined set of data targets;

means for collecting data target information from the data targets;

means for generating a receiving client profile from the data target information;

means for scoring the message with respect to the profile; and

means for displaying the message on the receiving client'"'"'s computer if the filtering criteria is found within the profile.