Improving Information Retrieval Effectiveness in Peer-to-Peer Networks through Query Piggybacking [chapter]

Emanuele Di Buccio, Ivano Masiero, Massimo Melucci
2009 Lecture Notes in Computer Science  
This work describes an algorithm which aims at increasing the quantity of relevant documents retrieved from a Peer-To-Peer (P2P) network. The algorithm is based on a statistical model used for ranking documents, peers and ultra-peers, and on a "piggybacking" technique performed when the query is routed across the network. The algorithm "amplifies" the statistical information about the neighborhood stored in each ultra-peer. The preliminary experiments provided encouraging results as the
more » ... of relevant documents retrieved through the network almost doubles once query piggybacking is exploited.
doi:10.1007/978-3-642-04346-8_49 fatcat:rnnad2xmibecbl54amctcflcly