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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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