Abstract. Hybrid recommender systems are capable of providing better recommendations than non-hybrid ones. Our approach to hybrid recommenders is the use of prediction strategies t...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
Locating resources of interest in a large resourceintensive environment is a challenging problem. In this paper we present research on addressing this problem through the developm...
Mehmet S. Aktas, Marlon E. Pierce, Geoffrey Fox, D...
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...
Abstract. We present a CBR approach to musical playlist recommendation. A good playlist is not merely a bunch of songs, but a selected collection of songs, arranged in a meaningful...
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L...