Skip to main content

Query Expansion for Information Retrieval

  • Reference work entry
  • First Online:
  • 40 Accesses

Synonyms

QE, Query enhancement; Term expansion

Definition

Query expansion (QE) is a process in Information Retrieval which consists of selecting and adding terms to the user’s query with the goal of minimizing query-document mismatch and thereby improving retrieval performance.

Historical Background

The work on query expansion following relevance feedback dates back to 1965, when Rocchio [1] formalized relevance feedback in the vector-space model. Early work on using collection-based term co-occurrence statistics to select query expansion terms was done by Spärck Jones [2] and van Rijsbergen [3].

Foundations

The central task of information retrieval (IR) is to find documents that satisfy the user’s information need. This is usually taken to mean finding documents or some parts of them, such as passages, which contain information that would help resolving the user’s information need. Therefore, at least in a more traditional sense, IR does not involve providing the user directly with...

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  1. Salton G. The SMART retrieval system (Chapter 14). Englewood Cliffs: Prentice- Hall. (Reprinted from Rocchio JJ. (1965). Relevance feedback in information retrieval. In: Scientific Report ISR-9, Harvard University), 1971.

    Google Scholar 

  2. Spärck JK. Automatic keyword classification for information retrieval. London: Butterworths; 1971.

    Google Scholar 

  3. van Rijsbergen CJ. A theoretical basis for the use of co-occurrence data in information retrieval. J Doc. 1977;33(2):106–19.

    Article  Google Scholar 

  4. Voorhees E. Query expansion using lexical-semantic relations. In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1994. p. 61–9.

    Chapter  Google Scholar 

  5. Billerbeck B, Scholer F, Williams HE, Zobel J. Query expansion using associated Queries. Proceedings of the 12th International Conference on Information and Knowledge Management; 2003.

    Google Scholar 

  6. Beeferman D, Berger A. Agglomerative clustering of a search engine query log. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2000. p. 407–16.

    Google Scholar 

  7. Yin Z, Shokouhi M, Craswell N. Query expansion using external evidence. In: Proceedings of the 31st European Conference on Information Retrieval; 2009. p. 362–74.

    Google Scholar 

  8. Spärck JK, Walker S, Robertson SE. A probabilistic model of information retrieval: development and comparative experiments. Inf Proc Manage. 36(6):779–808 (Part 1), 2000; 809–840 (Part 2), 2000.

    Google Scholar 

  9. Xu J, Croft B. Query expansion using local and global document analysis. In: Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1996. p. 4–11.

    Google Scholar 

  10. Carpineto C, de Mori R, Romano G, Bigi B. An information-theoretic approach to automatic query expansion. ACM Trans Inf Syst. 2001;19(1):1–27.

    Article  Google Scholar 

  11. Billerbeck B, Zobel J. Questioning query expansion: an examination of behaviour and parameters. In: Proceedings of the 15th Australasian Database Conference; 2004. p. 69–76.

    Google Scholar 

  12. Qiu Y, Frei HP. Concept based query expansion. In: Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1993. p. 160–9.

    Google Scholar 

  13. Jing Y, Croft B. An association thesaurus for information retrieval. In: Proceedings of the 4th International Conference on Computer-Assist IR; p. 146–60.

    Google Scholar 

  14. Kim M-C, Choi K-S. A comparison of collocation-based similarity measures in query expansion. Inf Process Manag. 1999;35(1):19–30.

    Article  Google Scholar 

  15. Beaulieu M. Experiments with interfaces to support query expansion. J Doc. 1997;53(1):8–19.

    Article  Google Scholar 

  16. Koenemann J, Belkin NJ. A case for interaction: a study of interactive information retrieval behavior and effectiveness. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 1996. p. 205–12.

    Google Scholar 

  17. Ruthven I. Re-examining the potential effectiveness of interactive query expansion. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2003. p. 213–20.

    Google Scholar 

  18. Carpineto C, Romano G. Automatic query expansion in information retrieval. ACM Comput Surv. 2012;44(1):Article 1.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olga Vechtomova .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

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

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Vechtomova, O. (2018). Query Expansion for Information 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_947

Download citation

Publish with us

Policies and ethics