Efficient Multi-keyword Search over P2P Web
(0) Current search mechanisms of DHT-based P2P systems can well handle a single keyword search problem. Other than single keyword search, multi-keyword search is quite popular and useful in many real applications. Simply using the solution for single keyword search will require distributed intersection/union operations in wide area networks, leading to unacceptable traffic cost. As it is well known that Bloom Filter (BF) is effective in reducing traffic, we would like to use BF encoding to handle multi-keyword search. Applying BF is not difficult, but how to get optimal results is not trivial. In this study we show, through mathematical proof, that the optimal setting of BF in terms of traffic cost is determined by the global statistical information of keywords, not the minimized false positive rate as claimed by previous methods. Through extensive experiments, we demonstrate how to obtain optimal settings. We further argue that the intersection order between sets is important for multi-keyword search. Thus, we design optimal order strategies based on BF for both “and and “or queries. To better evaluate the performance of this design, we conduct extensive simulations on TREC WT10G test collection and the query log of a commercial search engine. Results show that our design significantly reduces the search traffic of existing approach by 73％.
P2P DHT Multi-keyword Search Bloom Filter
Hanhua Chen Hai Jin Jiliang Wang Yunhao Liu Lionel Ni Lei Chen
School of Computer Science and Technology Huazhong University of Science and Technology Wuhan, 43007 Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）