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Efficient peer-to-peer semantic overlay networks based on statistical language models
2006
Proceedings of the international workshop on Information retrieval in peer-to-peer networks - P2PIR '06
In this paper we address the query routing problem in peerto-peer (P2P) information retrieval. Our system builds up on the idea of a Semantic Overlay Network (SON), in which each peer becomes neighbor of a small number of peers, chosen among those that are most similar to it. Peers in the network are represented by a statistical Language Model derived from their local data collections but, instead of using the non-metric Kullback-Leibler divergence to compute the similarity between them, we use
doi:10.1145/1183579.1183582
fatcat:iu3thxomxrhf3fwxf3hqwttloi