Abstract
The state of the art of P2P-based information retrieval is still at its infant stage and confronted with many challenges. One of the most urgent problems is how to rank the results retrieved from different peers. In this paper, we propose a fully distributed strategy to address this challenge. First, we identify the underlying diathesis resulting in the problem. Then we propose a fully distributed strategy to rank and merge results retrieved from different sites, including fully distributed statistics management and distributed ranking processing. Finally, we conduct an extensive experimental study to evaluate the strategy and the results verify the effectiveness of our solution.
Supported by High Education Doctorial Subject Research Program of MoE in China under grant No.20030246023, and by Science and Technology Commission of Shanghai Municipal Government under grant No.03DZ15028.
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© 2004 Springer-Verlag Berlin Heidelberg
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Lu, Z., Ling, B., Qian, W., Ng, W.S., Zhou, A. (2004). A Distributed Ranking Strategy in Peer-to-Peer Based Information Retrieval Systems. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_30
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DOI: https://doi.org/10.1007/978-3-540-24655-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21371-0
Online ISBN: 978-3-540-24655-8
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