Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Term Proximity

  • Vassilis PlachourasEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_937


Lexical affinities; Lexical relations


Term proximity is a form of term dependence based on the distance of terms in a document. A retrieval system using term proximity assigns a higher score to documents in which the query terms appear close to each other.

Key Points

Term proximity is a feature that partially captures the dependence of terms in documents. Information retrievals models are often based on the assumption that terms occur independently of other terms in a document. This assumption is only an approximation to allow the simple mathematical development of retrieval models. There have been, however, several efforts to introduce dependence of terms [4]. Most of the efforts to use term proximity in the past did not result in substantial improvements. Metzler and Croft [2] argued that this can be attributed to the small size of the test collections used in the past, as well as to the fact that previous models required estimating term dependencies for both the...

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Recommended Reading

  1. 1.
    Maarek YS, Smadja FZ. Full text indexing based on lexical relations an application: software libraries. In: Proceedings of the 12th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1989. p. 198–206.Google Scholar
  2. 2.
    Metzler D, Croft B. 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.Google Scholar
  3. 3.
    Mishne G, de Rijke M. Boosting Web retrieval through query operations. In: Proceedings of the 27th European Conference on IR Research; 2005. p. 502–16.Google Scholar
  4. 4.
    Yu CT, Buckley C, Lam K, Salton G. A generalized term dependence model in information retrieval. Inf Tech Res Dev. 1983;4(2):129–54.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Yahoo! ResearchBarcelonaSpain

Section editors and affiliations

  • Giambattista Amati
    • 1
  1. 1.Fondazione Ugo BordoniRomeItaly