By Topic

Active fuzzy clustering for collaborative filtering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
N. Srinivasa ; LLC, HRL Laboratories, Malibu, CA, USA ; S. Medasani

We present a fuzzy clustering approach to collaborative filtering. Our approach allows for users to be clustered into multiple user groups. Furthermore, our approach is active in that it can rapidly adapt to both short and long term user interest changes. Our approach is capable of on-line collaborative filtering with simultaneous clustering at the document content level, user group level, as well as document clustering based on similarity of user interests. We demonstrate the various features of the approach using a synthetic example.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

25-29 July 2004