Gossip Communities: Collaborative Filtering Through Peer-to-Peer Overlays

Gossip-based Peer-to-Peer protocols proved to be very efficient for supporting dynamic and complex information exchange among distributed peers. They are useful for building and maintaining the net- work topology itself as well as to support a pervasive diusion of the information injected into the network. In this paper, we propose the general architecture of a system that tries to exploit the collaborative exchange of information between peers in order to build a system able to gather similar users and spread useful suggestions among them.