The Geometry of Information Retrieval
The Geometry of Information Retrieval
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USDKeith Van Rijsbergen demonstrates how different models of information retrieval (IR) can be combined in the same framework used to formulate the general principles of quantum mechanics. All 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 examined. Appendices with background material on physics and mathematics are also included.
- Leading figure in subject presents new, unifying framework for information retrieval, with a theory of measurement for artificial systems motivated by analogies with quantum mechanics
- Self-contained, with extensive annotated bibliography and appendices outlining basic mathematics
- Serves as an introduction to formal IR and to the mathematics of quantum computation
Reviews & endorsements
"This is a very interesting book, which appears to provide a solid foundation for future research...van Rijsbergen's explanations are well written and logical. In addition, there are many pointers to other sources of relevant information. This book would be of particular interest to those conducting IR, Artificial Intelligence or Cognitive Science research. The novel approach may also be of interest to web search engine developers. As the author points out, this book could also provide a useful introduction to quantum computation, as most of the required mathematics is included...In conclusion, this is a clearly written and thought-provoking book that has been a pleasure to read. It is highly recommended."
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Product details
September 2004Hardback
9780521838054
164 pages
229 × 152 × 11 mm
0.39kg
Available
Table of Contents
- 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.
