The Geometry of Information Retrieval
1st Edition
Published on 27. July 2006
978-0-511-20780-8 (ISBN)
Description
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.
Reviews / Votes
' ... a clearly written and thought-provoking book that has been a pleasure to read. It is highly recommended.' IAPR NewsletterMore details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
File size
1,00 MB
ISBN-13
978-0-511-20780-8 (9780511207808)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
C. J. van Rijsbergen
The Geometry of Information Retrieval
Book
08/2004
Cambridge University Press
€101.10
Shipment within 15-20 days
Person
Content
Preface; Prologue; 1. Introduction; 2. On sets and kinds in IR; 3. Vector and Hilbert spaces; 4. Linear transformations, operators and matrices; 5. Conditional logic in IR; 6. The geometry of IR; Appendix I. Linear algebra; Appendix II. Quantum mechanics; Appendix III. Probability; Bibliography; Index.
