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Text Indexing and Retrieval

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Encyclopedia of Database Systems

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Recommended Reading

  1. Manning CD, Raghavan P, Schütze H. Introduction to information retrieval. Cambridge: Cambridge University Press; 2008.

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  2. Metzler D, Croft WB. A Markov random field model for term dependencies. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2005. p. 472–9.

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  3. Metzler DA. Beyond bags of words: effectively modeling dependence and features in information retrieval, Ph.D. thesis, University of Massachussetts, 2007.

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  4. Ponte J., Croft WB. A language modeling approach to information retrieval. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1998. p. 275–81.

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  5. Ricardo BY, Berthier R-N. Modern information retrieval. New York: Addison Wesley Longman; 1999.

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  6. Zhai C, Lafferty J. A study of smoothing methods for language models applied to ad hoc information retrieval. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2001. p. 334–42.

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Author information

Authors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Haoda Huang & Benyu Zhang

Authors
  1. Haoda Huang
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  2. Benyu Zhang
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Corresponding author

Correspondence to Haoda Huang .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Microsoft Research Asia, Microsoft Corporation, Beijing, Haidian, China

    Zheng Chen

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Huang, H., Zhang, B. (2018). Text Indexing and Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_417

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