Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Search and retrieval of specific musical content such as emotive or sonic features has become an important aspect of Music Information Retrieval system development, but only little...
Micheline Lesaffre, Marc Leman, Jean-Pierre Marten...
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
This paper gives a brief overview about the partially EU funded project IST-2000-25420 FASTY in the IST program. The objective of FASTY was the creation of a system for increasing ...
Christian Beck, Gottfried Seisenbacher, Georg Edel...