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• W2573323908 abstract "We consider the problem of resource selection in clustered Peer-to-Peer Information Retrieval (P2P IR) networks with cooperative peers. The clustered P2P IR framework presents a significant departure from general P2P IR architectures by employing clustering to ensure content coherence between resources at the resource selection layer, without disturbing document allocation. We propose that such a property could be leveraged in resource selection by adapting well-studied and popular inverted lists for centralized document retrieval. Accordingly, we propose the Inverted PeerCluster Index (IPI), an approach that adapts the inverted lists, in a straightforward manner, for resource selection in clustered P2P IR. IPI also encompasses a strikingly simple peer-specific scoring mechanism that exploits the said index for resource selection. Through an extensive empirical analysis on P2P IR testbeds, we establish that IPI competes well with the sophisticated state-of-the-art methods in virtually every parameter of interest for the resource selection task, in the context of clustered P2P IR." @default.
• W2573323908 created "2017-01-26" @default.
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• W2573323908 date "2016-11-01" @default.
• W2573323908 modified "2023-09-22" @default.
• W2573323908 title "Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks" @default.
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• W2573323908 doi "https://doi.org/10.1109/ictai.2016.0064" @default.
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