In this paper we present a trust-oriented method that can be used when building P2P recommender systems. We discuss its benefits in comparison to centralized solutions, its requir...
This paper presents a Multi-agent System and a Methodology to select and to integrate heterogenous and distributed information sources to make recommendations. A set of intrinsic c...
Abstract: This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments....
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...
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...