Title :
Active fuzzy clustering for collaborative filtering
Author :
Srinivasa, N. ; Medasani, S.
Author_Institution :
LLC, HRL Laboratories, Malibu, CA, USA
Abstract :
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.
Keywords :
filtering theory; fuzzy set theory; pattern clustering; active fuzzy clustering approach; document clustering; document content level; multiple user groups; online collaborative filtering; user group level; Clustering algorithms; Collaboration; Collaborative work; Content based retrieval; Filtering; Fuzzy neural networks; Fuzzy systems; Laboratories; Neural networks; Prototypes;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375436