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Employing the resolution power of search keys

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  • Ari Pirkola
  • Kalervo Järvelin

Abstract

Search key resolution power is analyzed in the context of a request, i.e., among the set of search keys for the request. Methods of characterizing the resolution power of keys automatically are studied, and the effects search keys of varying resolution power have on retrieval effectiveness are analyzed. It is shown that it often is possible to identify the best key of a query while the discrimination between the remaining keys presents problems. It is also shown that query performance is improved by suitably using the best key in a structured query. The tests were run with InQuery1 in a subcollection of the TREC collection, which contained some 515,000 documents.

Suggested Citation

  • Ari Pirkola & Kalervo Järvelin, 2001. "Employing the resolution power of search keys," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(7), pages 575-583.
    • Handle: RePEc:bla:jamist:v:52:y:2001:i:7:p:575-583
    DOI: 10.1002/asi.1106
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    Cited by:

    1. Lynda Tamine & Cécile Chouquet & Thomas Palmer, 2015. "Analysis of biomedical and health queries: Lessons learned from TREC," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2626-2642, December.

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