Evaluating profiling and query expansion methods for P2P information retrieval

This paper addresses the issue of peer profiles, i.e. compact representations of a peer's locally offered content, and their use in P2P information retrieval and routing. Experiments with different profile building and query expansion methods show that compression of profiles is possible without losing too much retrieval performance and that query expansion using global co-occurrence data can improve results by approx. 10%.