Information Retrieval and Graph Analysis Approaches for Book Recommendation

Article English OPEN
Benkoussas, Chahinez; Bellot, Patrice;
(2015)
  • Publisher: Hindawi Limited
  • Journal: The Scientific World Journal,volume 2,015 (issn: 2356-6140, eissn: 1537-744X)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1155/2015/926418, pmc: PMC4609525
  • Subject: Q | R | Research Article | T | [ SHS.INFO ] Humanities and Social Sciences/Library and information sciences | [SHS.INFO]Humanities and Social Sciences/Library and information sciences | Science | Medicine | Technology | Article Subject
    acm: InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL

International audience; A combination of multiple information retrieval approaches is proposed for the purpose of book recommendation. In this paper, book recommendation is based on complex user's query. We used different theoretical retrieval models: probabilistic as I... View more
  • References (32)
    32 references, page 1 of 4

    [1] F. Song and W. B. Croft, “A general language model for information retrieval,” in Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '99), pp. 279-280, ACM, Berkeley, Calif, USA, August 1999.

    [2] T. Tao, X. Wang, Q. Mei, and C. Zhai, “Language model information retrieval with document expansion,” in Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL '06), R. C. Moore, J. A. Bilmes, J. Chu-Carroll, and M. Sanderson, Eds., pp. 407- 414, Association for Computational Linguistics, Nagoya, Japan, 2006.

    [3] C. X. Zhai, Statistical Language Models for Information Retrieval, Synthesis Lectures on Human Language Technologies, Morgan and Claypool Publishers, 2008.

    [4] J. M. Ponte and W. B. Croft, “A language modeling approach to information retrieval,” in Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '98), pp. 275-281, Melbourne, Australia, August 1998.

    [5] D. Metzler and W. B. Cro,ft “A Markov random efild model for term dependencies,” in Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '05), pp. 472-479, ACM, Salvador, Brazil, August 2005.

    [6] G. Amati and C. J. Van Rijsbergen, “Probabilistic models of information retrieval based on measuring the divergence from randomness,” ACM Transactions on Information Systems, vol. 20, no. 4, pp. 357-389, 2002.

    [7] L. Page, S. Brin, R. Motwani, and T. Winograd, “eTh pagerank citation ranking: bringing order to the web,” Tech. Rep. 1999-66, ehT Stanford University InfoLab, 1999, Previous number: SIDLWP-1999-0120.

    [8] W. B. Croft, Organizing and searching large lfies of document descriptions [Ph.D. thesis], Cambridge University, 1978.

    [9] H. Bouchard and J.-N. Nie, “Mode`les de langue applique´s a` la recherche´ d'information contextuelle,” in Confe´rence en Recherche d'Information et Applications (CORIA '06), pp. 213- 224, Universite´ de Lyon, Lyon, France, March 2006.

    [10] M. Abolhassani and N. Fuhr, “Applying the divergence from randomness approach for content-only search in XML documents,” in Advances in Information Retrieval, Lecture Notes in Computer Science, pp. 409-419, Springer, Berlin, Germany, 2004.

  • Related Organizations (2)
  • Metrics