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Information Retrieval: Algorithms and Heuristics
by David Grossman Ophir Frieder
Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of
information retrieval covering both effectiveness and run-time performance. The focus of the presentation
is on algorithms and heuristics used to find documents relevant to the user request and to find them fast.
Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate
understanding and applications, introductions to and discussions of computational linguistics, natural
language processing, probability theory and library and computer science are provided. While this text
focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial
products are described. Techniques that can be used to find information on the Web, as well as in other large
information collections, are included.
This volume is an invaluable resource for researchers, practitioners, and students working in information
retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available
online from the authors.
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