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22nd International Conference on Data Engineering (ICDE'06)
SIPPER: Selecting Informative Peers in Structured P2P Environment for Content-Based Retrieval
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2570-9
Shuigeng Zhou, Fudan University, China
Zheng Zhang, Fudan University, China
Weining Qian, Fudan University, China
Aoying Zhou, Fudan University, China
In this demonstration, we present a prototype system called SIPPER, which is the abbreviation for Selecting Informative Peers in Structured P2P Environment for Content-based Retrieval. SIPPER distinguishes itself from the existing P2P-IR systems by the following two features: First, to improve retrieval efficiency, SIPPER employs a novel peer selection method to direct the query to a small fraction of relevant peers in the network for searching globally relevant documents. Second, to reduce the bandwidth cost of meta data publishing, SIPPER uses a new publishing mechanism, the term-node publishing mechanism, which is different from the traditional term-document model [2].
Citation:
Shuigeng Zhou, Zheng Zhang, Weining Qian, Aoying Zhou, "SIPPER: Selecting Informative Peers in Structured P2P Environment for Content-Based Retrieval," icde, pp.161, 22nd International Conference on Data Engineering (ICDE'06), 2006
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