Improving information retrieval effectiveness in peer-to-peer networks through query piggybacking

Authors:
Emanuele Di Buccio;Ivano Masiero;Massimo Melucci
Affiliations:
Department of Information Engineering, University of Padua, Italy;Department of Information Engineering, University of Padua, Italy;Department of Information Engineering, University of Padua, Italy
Venue:
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Year:
2009

Citing 2
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Abstract

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 quantity of relevant documents retrieved through the network almost doubles once query piggybacking is exploited.