Gossip communities: collaborative filtering through peer-to-peer overlays

Gossip-based Peer-to-Peer protocols proved to be very e- cient 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 di usion 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.