In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recomm...
The organization of the knowledge on the web is increasingly becoming a social task performed by online communities whose members share a common interest in classifying different t...
Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user in the task of tagging, such as tag recommenders, are more and more require...