David A Grossman

(Author)

Information Retrieval: Algorithms and Heuristics (Softcover Reprint of the Original 1st 1998)Paperback - Softcover Reprint of the Original 1st 1998, 23 October 2012

Information Retrieval: Algorithms and Heuristics (Softcover Reprint of the Original 1st 1998)
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Part of Series
The Springer International Engineering and Computer Science
Part of Series
Springer International Series in Engineering and Computer Sc
Print Length
254 pages
Language
English
Publisher
Springer
Date Published
23 Oct 2012
ISBN-10
1461375320
ISBN-13
9781461375326

Description

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.

Product Details

Authors:
David A GrossmanOphir Frieder
Book Edition:
Softcover Reprint of the Original 1st 1998
Book Format:
Paperback
Country of Origin:
NL
Date Published:
23 October 2012
Dimensions:
23.39 x 15.6 x 1.47 cm
ISBN-10:
1461375320
ISBN-13:
9781461375326
Language:
English
Location:
New York, NY
Pages:
254
Publisher:
Weight:
390.09 gm

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