2 research outputs found
Improving Information Retrieval Effectiveness in Peer-to-Peer Networks through Query Piggybacking
Περιέχει το πλήρες κείμενοThis 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