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Toward Personalized Peer-to-Peer Top-K Processing

Abstract : We present the first personalized peer-to-peer top-k search protocol for a collaborative tagging system. Each peer maintains relevant personalized information about its tagging behavior as well as that of its social neighbors, and uses those to locally process its queries. Extensive experiments based on a real-world dataset crawled from del.icio.us shows that very little storage at each peer suffices to get almost the same results as a hypothetical centralized solution with infinite storage.
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https://hal.inria.fr/inria-00430159
Contributor : Xiao Bai <>
Submitted on : Wednesday, April 21, 2010 - 6:29:11 PM
Last modification on : Tuesday, June 15, 2021 - 4:16:39 PM
Long-term archiving on: : Thursday, June 30, 2011 - 11:54:51 AM

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  • HAL Id : inria-00430159, version 1

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Xiao Bai, Marin Bertier, Rachid Guerraoui, Anne-Marie Kermarrec. Toward Personalized Peer-to-Peer Top-K Processing. Second ACM Workshop on Social Network Systems (SNS), Mar 2009, Nuremberg, Germany. ⟨inria-00430159⟩

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