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An Efficient Multi-Keyword Query Processing Strategy on P2P Based Web Search
作者姓名:SHEN  Derong  LI  Meifang  ZHU  Hongkai  YU  Ge
作者单位:[1]College of Information Science and Engineering, Northeastem University, Shenyang 110004,China [2]Department of New Froduct Research, Baidu.com, Inc., Beijing 100080, China
基金项目:Supported by the National Natural Science Foundation of China (60673139, 60473073, 60573090)
摘    要:

关 键 词:多关键词  P2P  网络搜索  Nash平衡
文章编号:1007-1202(2007)05-0881-06
收稿时间:10 February 2007
修稿时间:2007-02-10

An efficient multi-keyword query processing strategy on P2P based Web search
SHEN Derong LI Meifang ZHU Hongkai YU Ge.An Efficient Multi-Keyword Query Processing Strategy on P2P Based Web Search[J].Wuhan University Journal of Natural Sciences,2007,12(5):881-886.
Authors:Shen Derong  Li Meifang  Zhu Hongkai  Yu Ge
Institution:(1) College of Information Science and Engineering, Northeastern University, Shenyang, 110004, China;(2) Department of New Froduct Research, Baidu.com, Inc., Beijing, 100080, China
Abstract:The paper presents a novel benefit based query processing strategy for efficient query routing. Based on DHT as the overlay network, it first applies Nash equilibrium to construct the optimal peer group based on the correlations of keywords and coverage and overlap of the peers to decrease the time cost, and then presents a two-layered architecture for query processing that utilizes Bloom filter as compact representation to reduce the bandwidth consumption. Extensive experiments conducted on a real world dataset have demonstrated that our approach obviously decreases the processing time, while improves the precision and recall as well.
Keywords:multi-keyword  P2P  Web search  correlation  coverage and overlap  Nash equilibrium
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