A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Improving Information Retrieval Effectiveness in Peer-to-Peer Networks through Query Piggybacking
[chapter]
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
doi:10.1007/978-3-642-04346-8_49
fatcat:rnnad2xmibecbl54amctcflcly