Systems which predict the items a user would like, on the basis of the preferences given by other users, are attracting growing attention as automated recommender services on the Internet. Collaborative filtering techniques are widely used to implement such recommender systems. We show how fuzzy sets and many-valued logics can be fruitfully applied in the description and design of collaborative filtering methods.
A logical framework for fuzzy collaborative filtering / S. Aguzzoli, P. Avesani, B. Gerla - In: The 10th IEEE international conference on fuzzy systems : the University of Melbourne, Australia, December 2001 /Piscataway : IEEE Computer Society, 2001. - ISBN 078037293X. - pp. 1043-1046 (( Intervento presentato al 10. convegno IEEE Internationa conference on fuzzy systems tenutosi a Melbourne nel 2001 [10.1109/FUZZ.2001.1009143].
A logical framework for fuzzy collaborative filtering
S. AguzzoliPrimo
;
2001
Abstract
Systems which predict the items a user would like, on the basis of the preferences given by other users, are attracting growing attention as automated recommender services on the Internet. Collaborative filtering techniques are widely used to implement such recommender systems. We show how fuzzy sets and many-valued logics can be fruitfully applied in the description and design of collaborative filtering methods.
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