DocumentCode
2244945
Title
Active fuzzy clustering for collaborative filtering
Author
Srinivasa, N. ; Medasani, S.
Author_Institution
LLC, HRL Laboratories, Malibu, CA, USA
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
1697
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375436
Filename
1375436
Link To Document