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Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
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ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
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Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Content-based retrieval in hybrid peer-to-peer networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Using locality of reference to improve performance of peer-to-peer applications
WOSP '04 Proceedings of the 4th international workshop on Software and performance
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Conventional information retrieval technology (i.e. VSM) faces many difficulties when being implemented in complex P2P systems for the lack of global statistic information (e.g. IDF) and central services. In this paper, we suggest a novel query optimization scheme (Semantic Dual Query Expansion, SDQE) that makes full use of the context information supplied by the local document collection. Latent Semantic Indexing (LSI) is used to explore the local context information. By comparing the different local context information hidden in different document collections, it is possible to solve the synonymy-polysemy problem in VSM. The experiments prove that our scheme is effective to improve the retrieval performance in P2P systems without knowing the global statistic information.