Information Retrieval: Algorithms and Heuristics / Edition 1

by David A. Grossman, Ophir Frieder

Overview

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

ISBN-13:	9780792382713
Publisher:	Springer US
Publication date:	09/30/1998
Series:	The Springer International Series in Engineering and Computer Science , #461
Edition description:	1998
Pages:	254
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

List of Figures. Preface. 1. Introduction. 2. Retrieval Strategies. 3. Retrieval Utilities. 4. Efficiency Issues pertaining to Sequential IR Systems. 5. Integrating Structured Data and Text. 6. Parallel Information Retrieval Systems. 7. Distributed Information Retrieval. 8. The Text Retrieval Conference (TREC). 9. Future Directions. References.

Editorial Reviews

An introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus is on the algorithms and heuristics used to find documents relevant to the user request quickly, with the most common illustrated in examples. To facilitate understanding and applications, discussions of computational linguistics, natural language processing, probability theory, and library and computer science are provided. 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. Annotation c. Book News, Inc., Portland, OR (booknew.com)

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