With the growing amount of information being digitized, users find it difficult to obtain the most relevant information that is hidden in the deluge of information returned to the...
We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies. The exploitati...
: In this paper, we present an approach to refine user profiles that were derived from Web server logs in an automated procedure. In most application scenarios, such automatically ...
Several applications require the matching of user profiles, e.g., job recruitment or dating systems. In this paper we present a logical framework for specifying user profiles that...
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Such systems leverage knowledge about the known preferenc...
David M. Pennock, Eric Horvitz, Steve Lawrence, C....