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ABSTRACT
'Probability is expectation founded upon partial knowledge.' (Boole, 1854)
Information retrieval based on stored program electronic computers has been an active area of research since the time these machines were invented. It is therefore somewhat surprising that even now no formal computational model for IR exists. There is no well-defined logic to describe information retrieval, and there is no proof or model theory to talk about the truths of IR.
This paper argues that much of the research work in the past has been steps in the direction of a logic for IR. These steps have been taken by developing formal models for information retrieval, but to date none of these are complete nor could any claim to be a computational model for IR. To appreciate this development I shall present a picture of IR, describing bits of a puzzle which may fit together to point to a new framework within which a computational model or logic could be described.
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 26
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Norbert Gövert , Mounia Lalmas , Norbert Fuhr, A probabilistic description-oriented approach for categorizing web documents, Proceedings of the eighth international conference on Information and knowledge management, p.475-482, November 02-06, 1999, Kansas City, Missouri, United States
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J. Nie , F. Paradis , J. Vaucher, Adjusting the performance of an information retrieval system, Proceedings of the second international conference on Information and knowledge management, p.726-728, November 01-05, 1993, Washington, D.C., United States
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Andreas Abecker , Ansgar Bernardi , Knut Hinkelmann , Otto Kühn , Michael Sintek, Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project, Information Systems Frontiers, v.2 n.3-4, p.253-276, October-November 2000
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