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Active fuzzy clustering for collaborative filtering

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

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