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Document Length Normalization

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Recommended Reading

  1. Amati G. Probabilistic models for information retrieval based on divergence from randomness [PhD thesis]. University of Glasgow: Department of Computing Science; 2003.

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  2. Robertson SE, Walker S. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1994. p. 232–41.

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  3. Robertson SE, Walker S, Jones S, Hancock-Beaulieu M. Okapi at trec-3. In: Proceedings of the 3rd Text Retrieval Conference; 1994.

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  4. Singhal A, Buckley C, Mitra M. Pivoted document length normalization. In: Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1996. p. 21–9.

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  5. 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. University of Glasgow, Glasgow, UK

    Ben He

Authors
  1. Ben He
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Correspondence to Ben He .

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. Fondazione Ugo Bordoni, Rome, Italy

    Giambattista Amati

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He, B. (2018). Document Length Normalization. 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_934

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