Le filtrage collaboratif et le web 2.0: Etat de l'art

Abstract

This paper overviews the recommender systems' field. It first presents different recommendation methods and techniques proposed in the literature from the content based recommender systems to the collaborative and hybrid recommendation models. It also describes the main limitations of the existing techniques such as the sparsity and the cold start problems. Finally, the new generation of semantic and social recommender systems are discussed which include several web 2.0 based extensions to overcome such weaknesses. © 2008 Lavoisier.