Knowledge infusion into content-based recommender systems
Giovanni Maria Semeraro, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis · 2009
Content-based recommender systems try to recommend items similar to those a given user has liked in the past. The basic process consists of matching up the attributes of a user profile, in which preferences and interests are stored, with the attributes of a content object (item).