Information Retrieval - Algorithms and Heuristics (Paperback, Softcover reprint of the original 1st ed. 1998)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Springer International Series in Engineering and Computer Science, 461
Release date:	March 2013
First published:	1998
Authors:	David A. Grossman • Ophir Frieder
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	254
Edition:	Softcover reprint of the original 1st ed. 1998
ISBN-13:	978-1-4613-7532-6
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	1-4613-7532-0
Barcode:	9781461375326

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