C. J. van Rijsbergen

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.

The Geometry of Information Retrieval

Marcin Detyniecki

Andreas Nürnberger

Joemon M. Jose

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Adaptive Multimedia Retrieval, held in September 2005. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Also included are three invited papers by leading researchers in the area to illustrate the core topics of the workshop: User, Context and Feedback. The papers are organized in topical sections on ranking, systems, spatio-temporal relations, using feedback, using context, and meta data.

Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers

Adaptive Multimedia Retrieval: User, Context, and Feedback

Richard K Belew

Richard K. Belew

Also supporting this book is a Web site that will include recent additions to the book, as well as links to sites of new topics and methods."--BOOK JACKET.

C. J. van Rijsbergen

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