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 ABSTRACT
An evaluation of a large, operational full-text document-retrieval system (containing roughly 350,000 pages of text) shows the system to be retrieving less than 20 percent of the documents relevant to a particular search. The findings are discussed in terms of the theory and practice of full-text document retrieval.
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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CITED BY 108
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Diane Kelly , Chirag Shah , Cassidy R. Sugimoto , Earl W. Bailey , Rachael A. Clemens , Ann K. Irvine , Nicholas A. Johnson , Weimao Ke , Sanghee Oh , Anezka Poljakova , Marcos A. Rodriguez , Megan G. van Noord , Yan Zhang, Effects of performance feedback on users' evaluations of an interactive IR system, Proceedings of the second international symposium on Information interaction in context, October 14-17, 2008, London, United Kingdom
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REVIEW
"Robert G Crawford : Reviewer"
The notion of automatic full-text retrieval is clearly attractive; retrieval is
based on automatic searching of documents for those embodying certain subject
content. Such a system may involve automatic preprocessing of documents to
form indexes
more...
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