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.
' ... a clearly written and thought-provoking book that has been a pleasure to read. It is highly recommended.' IAPR Newsletter
"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."