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Information retrieval


 

Information retrieval (IR) is the art and science of searching for information in documents, searching for documents themselves, searching for metadata which describe documents, or searching within databases, whether relational stand alone databases or hypertext networked databases such as the Internet or intranets, for text, sound, images or data. There is a common confusion, however, between data retrieval, document retrieval, information retrieval, and text retrieval, and each of these have their own bodies of literature, theory, praxis and technologies.

ACM SIGIR Gerard Salton Award

; 1983 - Gerard Salton, Cornell University : "About the future of automatic information retrieval"

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Gerard Salton - Cornell University

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; 1988 - Karen Sparck Jones, University of Cambridge : "A look back and a look forward"

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Karen Sparck Jones - University of Cambridge

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; 1991 - Cyril Cleverdon, Cranfield Institute of Technology : "The significance of the Cranfield tests on index languages"

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Cyril Cleverdon - Cranfield Institute of Technology

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; 1994 - William S. Cooper, University of California, Berkeley : "The formalism of probability theory in IR: a foundation or an encumbrance?"

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William S. Cooper - University of California, Berkeley

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; 1997 - Tefko Saracevic, Rutgers University : "Users lost: reflections on the past, future, and limits of information science"

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Tefko Saracevic - Rutgers University

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; 2000 - Stephen E. Robertson, City University London : "On theoretical argument in information retrieval"

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Stephen E. Robertson - City University London

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; 2003 - W. Bruce Croft, University of Massachusetts, Amherst : "Information retrieval and computer science: an evolving relationship"

Related Topics:
W. Bruce Croft - University of Massachusetts, Amherst

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