By Gianluca Moro, Sonia Bergamaschi, Sam Joseph, Jean-Henry Morin, Aris M. Ouksel
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Extra resources for Databases, Information Systems, and Peer-to-Peer Computing: International Workshops, DBISP2P 2005 2006, Trondheim, Norway, August 28-29, 2006, Revised ... Applications, incl. Internet Web, and HCI)
In Proceedings of the 27th Annual International Conference on Research and Development in Information Retrieval ACM SIGIR ’04, pages 472–473, 2004. 16. S. Michel, P. Triantaﬁllou, and G. Weikum. KLEE: A Framework for Distributed Top-K Query Algorithms. In Proceedings of the 31st International Conference on Very Large Data Bases VLDB ’05, pages 637–648, 2005. 17. J. M. Ponte. A Language Modeling Approach to Information Retrieval. PhD thesis, University of Massachusetts Amherst, 1998. 18. J. M. Ponte and W.
This language model is then used for adjusting merging results, one user with a highly speciﬁed collection of documents implicitly helps another user to reﬁne the ﬁnal document ranking. As in the database selection approach above, we estimate the probability p(q|P R) from the pseudo-relevance based cluster of documents P R. The probability p(q|GE) is again approximated using the peer lists information. After the probabilities p(q|GE), p(q|P R), and the query q were sent to every peer in ranking P’, we compute cross-entropy between the pseudo-relevance based language model P R and the document language models for every document Dij : H(tk , Dij ) = −p(tk |P R) · log p(tk |Dij ).
ACM Press, 1999. 2. M. Bender, S. Michel, G. Weikum, and C. Zimmer. Bookmark-driven query routing in peer-to-peer web search. , Workshop Proceedings of the 27th Annual International Conference on Research and Development in Information Retrieval ACM SIGIR ’04, pages 46–57, 2004. 3. -T. Balke, W. Nejdl, W. Siberski, and U. Thaden. Progressive Distributed Top-k Retrieval in Peer-to-Peer Networks. Proceedings of the 21th International Conference on Data Engineering ICDE ’05, Tokyo, Japan, pages 174–185, 2005.