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SIGIR 2004 workshop: RIA and "where can IR go from here?"

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Published:01 December 2004Publication History
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Abstract

Current statistical approaches to IR have shown themselves to be effective and reliable in both research and commercial settings. However, experimental environments such as TREC show that retrieval results vary widely according to both topic (question asked) and system. This is true for both the basic IR systems and for any of the more advanced implementations using, for example, query expansion. Some retrieval approaches work well on one topic but poorly on a second, while other approaches may work poorly on the first topic, but succeed on the second. If it could be determined in advance which approach would work well, then a guided approach could strongly improve performance. Unfortunately, despite many efforts no one knows how to choose good approaches on a per topic basis.

References

  1. Harman, D.(2000). What we have learned, and not learned, from TREC. In Proceedings of the 2nd annual colloquium on information retrieval research, 2--21.Google ScholarGoogle Scholar
  2. Buckley, C. and Walz, J. (2000). The TREC-8 query track. In Proceedings of the eighth Text REtrieval Conference (TREC-8), 65--76.Google ScholarGoogle Scholar
  3. Cronen-Townsend, S. Zhou, Y. and Croft, W. B. (2002). Predicting query performance. In Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval, 299--306. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM SIGIR Forum
    ACM SIGIR Forum  Volume 38, Issue 2
    December 2004
    52 pages
    ISSN:0163-5840
    DOI:10.1145/1041394
    Issue’s Table of Contents

    Copyright © 2004 Authors

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 December 2004

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