The content and searching method of knowledge base are lack of the consideration of user requirements, it is difficult for the user to select the knowledge satisfy with the user r...
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...