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Information retrieval, IR, the science of extracting information from any potential source, can be viewed in a number of ways: logical, probabilistic and vector space models are some of the most important. In this book, the author, one of the leading researchers in the area, shows how these views can be reforged in the same framework used to formulate the general principles of quantum mechanics. All the usual quantum-mechanical notions have their IR-theoretic analogues, and the standard results can be applied to address problems in IR, such as pseudo-relevance feedback, relevance feedback and ostensive retrieval. The relation with quantum computing is also examined. To keep the book self-contained appendices with background material on physics and mathematics are included. Each chapter ends with bibliographic remarks that point to further reading. This is an important, ground-breaking book, with much new material, for all those working in IR, AI and natural language processing.
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Showing 5 featured editions. View all 5 editions?
Edition | Availability |
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1
Geometry of Information Retrieval
2010, Cambridge University Press
in English
0511543336 9780511543333
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2
The Geometry of Information Retrieval
2006, Cambridge University Press
eBook
in English
0511207808 9780511207808
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3
Geometry of Information Retrieval
2004, Cambridge University Press
in English
0511211384 9780511211386
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4
The Geometry of Information Retrieval
September 13, 2004, Cambridge University Press
Hardcover
in English
0521838053 9780521838054
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5
GEOMETRY OF INFORMATION RETRIEVAL.
2004, CAMBRIDGE UNIV PRESS, Cambridge University Press
in Undetermined
0521838053 9780521838054
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- Created November 16, 2008
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September 17, 2024 | Edited by ImportBot | import existing book |
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May 28, 2023 | Edited by MARC Bot | import existing book |
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November 16, 2008 | Created by ImportBot | Imported from University of Toronto MARC record |