Abstract. Regarding web searches, users have become used to keywordbased search interfaces due to their ease of use. However, this implies a semantic gap between the user's in...
Carlos Bobed, Raquel Trillo, Eduardo Mena, Sergio ...
Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available ...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...