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Testing algorithms is like testing students

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Published:15 August 2005Publication History

ABSTRACT

In this paper, we apply methods from educational testing to measure the reliability of an IR collection.

References

  1. Linda Crocker and James Algina. Introduction to Classical & Modern Test Theory. Holt, Rinehart and Winston, 1986.Google ScholarGoogle Scholar
  2. R. Robert L. Brennan. Generalizability Theory. Springer-Verlag, 2001.Google ScholarGoogle Scholar
  3. Richard J. Shavelson, Noreen M. Webb. Generalizability Theory: A Primer. Sage Publications, 1991.Google ScholarGoogle Scholar
  4. Ellen M. Voorhees. Variations in relevance judgments and the measurement of retrieval effectiveness. In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Ellen M. Voorhees, Chris Buckley. The effect of topic set size on retrieval experiment error. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Testing algorithms is like testing students

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    • Published in

      cover image ACM Conferences
      SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
      August 2005
      708 pages
      ISBN:1595930345
      DOI:10.1145/1076034

      Copyright © 2005 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 August 2005

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