Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending i...
The present study compares an adaptive simulated cellular-phone based recommender system to a non-adaptive one, in order to evaluate user preferences with respect to system adapti...
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...