Caching for improved retrieval in peer-to-peer networks
In modern information systems the dominant retrieval paradigms have shifted from exact matching towards retrieving a list of the most relevant objects. This is because users usually are not satisfied by arbitrarily large and unordered answer sets, but rather interested in small sets of â€ťbestâ€ť answers. All popular ranking approaches need collection-wide information. This poses a challenge in the P2P context where each peer has only local knowledge. We discuss how to deal with collection-wide information in P2P networks and how to optimize query distribution based on query result analysis, and present evaluation results.
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