Full Text Searching and Information Overload |
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| Institution: | 2. School of Information Sciences, University of Pittsburgh, Pittsburgh, PA, 15260, U.S.A.;1. Czech Technical University, Czech Republic;2. University of Economics, Prague, Czech Republic;3. J. E. Purkyne University in Usti nad Labem, Czech Republic;1. Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt;2. United Graduate School of Drug Discovery and Medical Information Sciences, Department of Gene and Development, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan;1. Technion - Israel Institute of Technology, Israel;2. Harvard University, United States of America;3. University of Oxford, United Kingdom of Great Britain and Northern Ireland |
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| Abstract: | This article classifies information retrieval applications into three classes depending on the correspondence between a user's request and the queries posed to the document base. It is argued that the mapping of requests (on a semantic level) to formalized queries (often on a lexical level) determines the range of retrieval effectiveness that may be obtained and that this classification may explain the discrepancy found in some information retrieval tests. It may also shed new light on a debate in the profession about the efficiency of retrieval systems in relation to precision, recall and information overload. |
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