Methods for ranking information retrieval systems without relevance judgements

Wu, S. and Crestani, F. (2003) Methods for ranking information retrieval systems without relevance judgements. In: Proceedings of the 2003 ACM Symposium on Applied Computing, 2003-03-09 - 2003-03-12. (http://www.cis.strath.ac.uk/research/publications/...)

Abstract

In this paper we present some new methods of ranking information retrieval systems without relevance judgement. The common ground of these methods is using a measure we called reference count . An extensive experimentation was conducted to evaluate the effectiveness of the proposed methods using various different standards Information Retrieval evaluation measures for the ranking, like average precision, R-precision, and precision and different document levels. We also compared the effectiveness of the proposed methods with the method proposed by Soboroff et al. The experimental results showed that the proposed methods are effective, and in many cases are more effective than Soboroff at al.'s method.

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	1906
  Dates:	Date Event March 2003 Published
  Subjects:	Bibliography. Library Science. Information Resources > Information resources > Electronic information resources
  Department:	Faculty of Science > Computer and Information Sciences
  Depositing user:	Strathprints Administrator
  Date deposited:	05 Nov 2006
  Last modified:	16 Apr 2024 10:51
  URI:	https://strathprints.strath.ac.uk/id/eprint/1906