| Methods for ranking information retrieval systems without relevance judgments |
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Symposium on Applied Computing
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Proceedings of the 2003 ACM symposium on Applied computing
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Melbourne, Florida
SESSION: Information access and retrieval
table of contents
Pages: 811 - 816
Year of Publication: 2003
ISBN:1-58113-624-2
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Downloads (6 Weeks): 8, Downloads (12 Months): 42, Citation Count: 8
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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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Jamie Callan , Margaret Connell , Aiqun Du, Automatic discovery of language models for text databases, Proceedings of the 1999 ACM SIGMOD international conference on Management of data, p.479-490, May 31-June 03, 1999, Philadelphia, Pennsylvania, United States
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J. A. Shaw and E. A. Fox. Combination of multiple searches. In Proceedings of 3rd Text Retrieval Conference (TREC-3), pages 267--275, Gaithersburg, Maryland, USA, April 1995.
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E. M. Voorhees, editor. Proceedings of 10th Text Retrieval Conference, Gaithersburg, Maryland, USA, November 2001. National Technical Information Service of USA.
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E. M. Voorhees and D. K. Harman, editors. Proceedings of 8th Text Retrieval Conference, Gaithersburg, Maryland, USA, November 1999. National Technical Information Service of USA.
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