Processes for assessing user affinities for particular item...

Data processing: database and file management or data structures – Database and file access – Preparing data for information retrieval

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C707S734000, C707S751000, C707S784000

Reexamination Certificate

active

07979445

ABSTRACT:
A computer-implemented system provides a browse tree in which items represented within a database are arranged within a hierarchy of item categories. Each time a user selects an item, an amount of credit is cumulatively assigned to the ancestor nodes (categories) of the selected item. The amount of credit assigned to a particular category of the browse tree over time for a given user represents the user's predicted affinity for that category. The user's relative preferences for some or all of the categories are predicted by calculating differences between the user's predicted affinities for such categories and the predicted affinities of a population of users for such categories. Scores reflective of these relative category preferences are used to provide personalized recommendations or other personalized content to the user.

REFERENCES:
patent: 4870579 (1989-09-01), Hey
patent: 5221261 (1993-06-01), Termin et al.
patent: 5848396 (1998-12-01), Gerace
patent: 6266649 (2001-07-01), Linden et al.
patent: 6321179 (2001-11-01), Glance et al.
patent: 6321221 (2001-11-01), Bieganski
patent: 6334127 (2001-12-01), Bieganski et al.
patent: 6366910 (2002-04-01), Rajaraman et al.
patent: 6438579 (2002-08-01), Hosken
patent: 6460025 (2002-10-01), Fohn et al.
patent: 6460036 (2002-10-01), Herz
patent: 6466918 (2002-10-01), Spiegel et al.
patent: 6484149 (2002-11-01), Jammes et al.
patent: 6489968 (2002-12-01), Ortega et al.
patent: 6606102 (2003-08-01), Odom
patent: 6606619 (2003-08-01), Ortega et al.
patent: 6611842 (2003-08-01), Brown
patent: 6757691 (2004-06-01), Welsh et al.
patent: 6853982 (2005-02-01), Smith et al.
patent: 6912505 (2005-06-01), Linden et al.
patent: 6963867 (2005-11-01), Ford et al.
patent: 7003503 (2006-02-01), Crosby et al.
patent: 7013300 (2006-03-01), Taylor
patent: 7089237 (2006-08-01), Turnbull et al.
patent: 7295995 (2007-11-01), York et al.
patent: 7328216 (2008-02-01), Hofmann et al.
patent: 7783617 (2010-08-01), Lu et al.
patent: 2001/0014868 (2001-08-01), Herz et al.
Middleton, S., De Roure, D., and Shadbolt, N., “Capturing knowledge of user preferences: ontologies in recommender systems,” Proceedings of the International Conference on Knowledge Capture, Victoria, BC Canada, ACM Press, pp. 100-107 (2001) (of-record in parent application).
Widyantoro, D., Loerger, T., and Yen J., “An adaptive algorithm for learning changes in user interests,” Proceedings of the Eighth International Conference on Information Knowledge Management, Kansas City, Missouri, ACM Press, pp. 405-412 (1999) (of-record in parent application).
Mobasher, B., Cooley, R., and Srivastava, J., “Automatic personalization based on Web usage mining,” Communications of the ACM, vol. 43, Issue 8, pp. 142-151 (Aug. 2000) (of-record in parent application).
Resnik, P., “Selection and Information: A Class-Based Approach to Lexical Relationships,” The Institute for Research in Cognitive Science, pp. 1-161 (Dec. 1993) (of-record in parent application).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Processes for assessing user affinities for particular item... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Processes for assessing user affinities for particular item..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Processes for assessing user affinities for particular item... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2645777

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.