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Metasearch consistency
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
New Orleans, Louisiana, United States
Pages: 386 - 387  
Year of Publication: 2001
ISBN:1-58113-331-6
Authors
Mark Montague  Dartmouth College, Hanover, NH
Javed A. Aslam  Dartmouth College, Hanover, NH
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 39,   Citation Count: 5
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ABSTRACT

We investigate the performance of metasearch algorithms in terms of how much they improve consistency. We find that three different metasearch algorithms, each over three datasets, usually improve the consistency of search results; sometimes the improvement is dramatic. Furthermore, consistency tends to improve when performance improves.


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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W.B.Croft.Combining approaches to information retrieval.In W.B.Croft,editor,Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval chapter 1. Kluwer Academic Publishers,2000.
 
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E.A.Fox and J.A.Shaw.Combination o multiple searches.In TREC-2 pages 243 -249,Gaithersburg, MD,USA,Mar.1994.U.S.Government Printing Office,Washington D.C.
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C.C.Vogt.How much more is better?Characterizing the effects o adding more IR systems to a combination. In RIAO pages 457 -475,Paris,France,Apr.2000.


Collaborative Colleagues:
Mark Montague: colleagues
Javed A. Aslam: colleagues