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...
Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address indiv...
Abstract. Recommender systems have traditionally recommended items to individual users, but there has recently been a proliferation of recommenders that address their recommendatio...
—Recommender systems usually propose items to single users. However, in some domains like Mobile IPTV or Satellite Systems it might be impossible to generate a program schedule f...
Ludovico Boratto, Salvatore Carta, Alessandro Ches...
In the age of information explosion, recommendation system has been proved effective to cope with information overload in ecommerce area. However, unscrupulous producers shill the...