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The Scientific World Journal
Volume 2015 (2015), Article ID 926418, 8 pages
http://dx.doi.org/10.1155/2015/926418
Research Article

Information Retrieval and Graph Analysis Approaches for Book Recommendation

1Aix-Marseille Université, CNRS, LSIS UMR 7296, 13397 Marseille, France
2Aix-Marseille Université, CNRS, CLEO OpenEdition UMS 3287, 13451 Marseille, France

Received 15 May 2015; Accepted 24 August 2015

Academic Editor: Mariofanna G. Milanova

Copyright © 2015 Chahinez Benkoussas and Patrice Bellot. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  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. View at Publisher · View at Google Scholar
  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. View at Publisher · View at Google Scholar
  5. D. Metzler and W. B. Croft, “A Markov random field 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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  7. L. Page, S. Brin, R. Motwani, and T. Winograd, “The pagerank citation ranking: bringing order to the web,” Tech. Rep. 1999-66, The Stanford University InfoLab, 1999, Previous number: SIDL-WP-1999-0120. View at Google Scholar
  8. W. B. Croft, Organizing and searching large files of document descriptions [Ph.D. thesis], Cambridge University, 1978.
  9. H. Bouchard and J.-N. Nie, “Modèles de langue appliqués à la recherché d'information contextuelle,” in Conférence en Recherche d'Information et Applications (CORIA '06), pp. 213–224, Université 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. View at Publisher · View at Google Scholar
  11. O. Kurland and L. Lee, “PageRank without hyperlinks: structural re-ranking using links induced by language models,” in Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '05), pp. 306–313, ACM, Salvador, Brazil, August 2005. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Lin, “Pagerank without hyperlinks: reranking with pubmed related article networks for biomedical text retrieval,” BMC Bioinformatics, vol. 9, no. 1, article 270, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Beckers, N. Fuhr, N. Pharo, R. Nordlie, and K. N. Fachry, “Overview and results of the INEX 2009 interactive track,” in Research and Advanced Technology for Digital Libraries: 14th European Conference, ECDL 2010, Glasgow, UK, September 6–10, 2010. Proceedings, vol. 6273 of Lecture Notes in Computer Science, pp. 409–412, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  14. M. Koolen, T. Bogers, J. Kamps, G. Kazai, and M. Preminger, “Overview of the INEX 2014 social book search track,” in Working Notes for CLEF 2014 Conference, Sheffield, UK, September 15–18, 2014, pp. 462–479, 2014. View at Google Scholar
  15. 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. View at Google Scholar · View at Scopus
  16. C. Benkoussas, H. Hamdan, S. Albitar, A. Ollagnier, and P. Bellot, “Collaborative filtering for book recommandation,” in Working Notes for CLEF 2014 Conference, Sheffield, UK, September 15–18, 2014, pp. 501–507, 2014. View at Google Scholar
  17. R. Guillén, “GIR with language modeling and DFR using terrier,” in Evaluating Systems for Multilingual and Multimodal Information Access, C. Peters, T. Deselaers, N. Ferro et al., Eds., vol. 5706 of Lecture Notes in Computer Science, pp. 822–829, Springer, Berlin, Germany, 2009. View at Publisher · View at Google Scholar
  18. V. Plachouras, B. He, and I. Ounis, “University of glasgow at trec 2004: experiments in web, robust, and terabyte tracks with terrier,” in Proceedings of the 13th Text Retrieval Conference (TREC '04), E. M. Voorhees and L. P. Buckland, Eds., Special Publication 500-261, National Institute of Standards and Technology (NIST), Gaithersburg, Md, USA, November 2004.
  19. S. E. Robertson, C. J. van Rijsbergen, and M. F. Porter, “Probabilistic models of indexing and searching,” in Proceedings of the 3rd Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '80), pp. 35–56, Kent, UK, 1980.
  20. L. Bonnefoy, R. Deveaud, and P. Bellot, “Do social information help book search?” in CLEF (Online Working Notes/Labs/Workshop), P. Forner, J. Karlgren, and C. Womser-Hacker, Eds., 2012. View at Google Scholar
  21. D. Metzler and W. B. Croft, “Combining the language model and inference network approaches to retrieval,” Information Processing and Management, vol. 40, no. 5, pp. 735–750, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. D. Metzler and W. B. Croft, “A Markov random field model for term dependencies,” in Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '05), R. A. Baeza-Yates, N. Ziviani, G. Marchionini, A. Moffat, and J. Tait, Eds., pp. 472–479, ACM, Salvador, Brazil, August 2005. View at Publisher · View at Google Scholar
  23. N. J. Belkin, P. Kantor, E. A. Fox, and J. A. Shaw, “Combining the evidence of multiple query representations for information retrieval,” Information Processing and Management, vol. 31, no. 3, pp. 431–448, 1995. View at Publisher · View at Google Scholar · View at Scopus
  24. J. H. Lee, “Combining multiple evidence from different properties of weighting schemes,” in Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '95), pp. 180–188, ACM, New York, NY, USA, 1995.
  25. J. Lin, “PageRank without hyperlinks: reranking with PubMed related article networks for biomedical text retrieval,” BMC Bioinformatics, vol. 9, no. 1, article 270, 2008. View at Publisher · View at Google Scholar · View at Scopus
  26. I. Ounis, G. Amati, V. Plachouras, B. He, C. Macdonald, and C. Lioma, “Terrier: a high performance and scalable information retrieval platform,” in Proceedings of the ACM SIGIR'06 Workshop on Open Source Information Retrieval (OSIR '06), Seattle, Wash, USA, August 2006.
  27. I. Ounis, G. Amati, V. Plachouras, B. He, C. Macdonald, and D. Johnson, “Terrier information retrieval platform,” in Advances in Information Retrieval: 27th European Conference on IR Research, ECIR 2005, Santiago de Compostela, Spain, March 21-23, 2005. Proceedings, vol. 3408 of Lecture Notes in Computer Science, pp. 517–519, Springer, Berlin, Germany, 2005. View at Publisher · View at Google Scholar
  28. I. Ounis, C. Lioma, C. Macdonald, and V. Plachouras, “Research directions in terrier: a search engine for advanced retrieval on the web,” Novatica/UPGRADE Special Issue on Next Generation Web Search, vol. 8, no. 1, pp. 49–56, 2007. View at Google Scholar
  29. K. Järvelin and J. Kekäläinen, “IR evaluation methods for retrieving highly relevant documents,” in Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '00), E. Yannakoudakis, N. Belkin, P. Ingwersen, and M.-K. Leong, Eds., pp. 41–48, ACM, Athens, Greece, July 2000. View at Publisher · View at Google Scholar
  30. L. Page, S. Brin, R. Motwani, and T. Winograd, “The pagerank citation ranking: bringing order to the web,” in Proceedings of the 7th International World Wide Web Conference, pp. 161–172, Brisbane, Australia, April 1998.
  31. P. Bellot, T. Bogers, S. Geva et al., “Overview of inex 2014,” in Information Access Evaluation. Multilinguality, Multimodality, and Interaction, E. Kanoulas, M. Lupu, P. Clough, and etal, Eds., vol. 8685 of Lecture Notes in Computer Science, pp. 212–228, Springer, Berlin, Germany, 2014. View at Publisher · View at Google Scholar
  32. Y.-M. Kim, P. Bellot, E. Faath, and M. Dacos, “Automatic annotation of bibliographical references in digital humanities books, articles and blogs,” in BooksOnline, G. Kazai, C. Eickhoff, and P. Brusilovsky, Eds., pp. 41–48, ACM, 2011. View at Google Scholar