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Query association surrogates for Web search

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  • Falk Scholer
  • Hugh E. Williams
  • Andrew Turpin

Abstract

Collection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose new techniques to add additional terms to documents with the goal of providing more accurate searches. Our techniques are based on query association, where queries are stored with documents that are highly similar statistically. We show that adding query associations to documents improves the accuracy of Web topic finding searches by up to 7%, and provides an excellent complement to existing supplement techniques for site finding. We conclude that using document surrogates derived from query association is a valuable new technique for accurate Web searching.

Suggested Citation

  • Falk Scholer & Hugh E. Williams & Andrew Turpin, 2004. "Query association surrogates for Web search," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(7), pages 637-650, May.
    • Handle: RePEc:bla:jamist:v:55:y:2004:i:7:p:637-650
    DOI: 10.1002/asi.20011
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    Cited by:

    1. Josiane Mothe, 2022. "Analytics Methods to Understand Information Retrieval Effectiveness—A Survey," Mathematics, MDPI, vol. 10(12), pages 1-25, June.
    2. Adrian-Gabriel Chifu & Sébastien Fournier, 2023. "Sentiment Difficulty in Aspect-Based Sentiment Analysis," Mathematics, MDPI, vol. 11(22), pages 1-33, November.

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