Method and system for profiling users based on their relationships with content topics

• US 7,587,664 B2
• Filed: 12/30/2004
• Issued: 09/08/2009
• Est. Priority Date: 09/22/1999
• Status: Expired due to Fees

• Current Assignee: Trend Micro Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Newbold, David L.
• Primary Examiner(s): Paula, Cesar B
• Application Number:
  US11/027,781
• Publication Number:
  US 20050192957A1
• Time in Patent Office: 1,713 Days
• Field of Search: 715/500, 715/513, 715/200, 715/234, 707/1, 707/7
• US Class Current: 715/200
• CPC Class Codes: G06Q 10/025 Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An affinity generation system according to the present invention analyzes a profiled user'"'"'s authorship and document usage within an ‘intranet’ to create a set of affinities between documents and topical classifications used in a hierarchical content catalog. These affinities are weighted depending on the system usage and amount of collected evidence. Once a certain threshold has been reached, the threshold being fixed or dynamically set to achieve a desired policy, the affinities are published into the content catalog. The user looking for specific expertise can then search or browse the content catalog and find both documents and people with strong affinities to the selected content area.

Claims

1. A computer implemented method for profiling a user based on the user'"'"'s activity, the method comprising:

assigning one or more topics to each of a plurality of documents based at least in part upon content contained in the documents;

maintaining an affinity variable associated with the user for each of one or more of the topics assigned to a document attributed to the user, wherein the affinity variable is a calculated value linking the user to each of the one or more topics assigned to the documents, the affinity variable being calculated using a mathematical function;

determining whether a first affinity variable for the user for a given topic has reached a threshold;

associating the user with the given topic for the first affinity variable which reaches the threshold; and

updating the affinity variable for a first topic for each document created by the user to which the first topic is assigned to maintain the affinity variable, the maintaining including weighting each document created by the user based upon one or more factors including a number of documents to which the first topic is assigned, a period of time over which the documents were created by the user, and a closeness of each document to the first topic.

2. The method of claim 1, wherein the step of maintaining the affinity variable for the user comprises adjusting the affinity variable based upon affinity variables associated with a plurality of second users for the first topic.

3. The method of claim 1, comprising updating the affinity variable for a topic based upon the user'"'"'s manipulation of a document to which the topic is assigned.

4. The method of claim 3, wherein the user'"'"'s manipulations are selected from the group consisting of adding content to the document, deleting content from the document, sending the document to another user, bookmarking the document, and modifying document metadata.

5. The method of claim 3, wherein the user'"'"'s manipulations comprise adding content to the document and deleting content from the document, comprising assigning a topic to the document based upon content added to or deleted from the document, and wherein the step of maintaining the affinity variable comprises updating the affinity variable for the topic assigned to the document based upon the added or deleted content.

6. The method of claim 3, comprising assigning one or more second topics to a document based upon content in the document following the user'"'"'s manipulation thereof, and wherein the step of updating the affinity variable comprises updating the affinity variable for the one or more second topics.

7. The method of claim 6, comprising allowing the plurality of users to access the content catalog to identify the user'"'"'s association with the given topic.

8. The method of claim 7, comprising establishing communication between the user and one or more of the plurality of user who have identified the user'"'"'s association with the given topic.

9. The method of claim 1, comprising storing a content catalog accessible by a plurality of users, which content catalog contains topics associated with documents to which the topics are assigned, and wherein the step of associating the user with the given topic comprises associating the user with the given topic contained in the content catalog.

10. The method of claim 9, wherein the step of maintaining the affinity variable comprises storing the affinity variable in a profile associated with the user.

11. The method of claim 10, comprising requesting the user'"'"'s approval as a condition to associating the user with the given topic contained in the content catalog.

12. The method of claim 11, comprising storing the first affinity variable in the user'"'"'s profile if the user declines to approve association of the user with the given topic in the content catalog.

13. The method of claim 1, wherein the step of maintaining the affinity variable comprises updating the affinity variable to reflect a passage of time.

14. The method of claim 13, wherein the affinity variable is numerical and wherein the step of maintaining the affinity variable comprises increasing the affinity variable for each topic assigned to a document attributed to the user and decreasing the affinity variable to reflect the passage of time.

15. A computerized system for profiling users based on their affinity to content, the system comprising:

a content catalog stored on a memory device which associates documents with topics;

one or more usage metric routines executable by the computerized system for maintaining an affinity value for each user for each of one or more topics assigned to documents attributed to the user, wherein the affinity variable is a calculated value linking the user to each of the one or more topics assigned to the documents, the affinity variable being calculated using a mathematical function;

a plurality of user profiles stored on a memory device containing affinity values maintained for the users; and

a publication agent executable by the computerized system for associating certain topics in the content catalog with certain users based at least in part upon the affinity values contained in the user profiles;

wherein the computerized system maintaining the affinity variable includes updating the affinity for a first topic for each document created by the user to which the first topic is assigned, including weighting each document created by the user based upon one or more factors including a number of documents to which the first topic is assigned, a period of time over which the documents were created by the user, and a closeness of each document to the first topic.

16. The system of claim 15, comprising an association table stored in a memory device containing sets of data relating each user to topics and the documents associated therewith, the association table being accessed by the one or more usage metric routines in maintaining the affinity values.

17. The system of claim 15, wherein the user profiles contain only affinity values which have reached a threshold.

18. A computer readable medium containing program code for, when executed by a computer, causing the computer to perform a method for profiling a user based on the user'"'"'s activity, the method comprising:

assigning one or more topics to each of a plurality of documents based at least in part upon content contained in the documents;

maintaining an affinity variable associated with the user for each of one or more of the topics assigned to a document attributed to the use, wherein the affinity variable is a calculated value linking the user to each of the one or more topics assigned to the documents, the affinity variable being calculated using a mathematical function;

determining whether a first affinity variable for the user for a given topic has reached a threshold;

associating the user with the given topic for the first affinity variable which reaches the threshold; and

updating the affinity variable for a first topic for each document created by the user to which the first topic is assigned to maintain the affinity variable, the maintaining including weighting each document created by the user based upon one or more factors including a number of documents to which the first topic is assigned, a period of time over which the documents were created by the user, and a closeness of each document to the first topic.