• Information Retrieval Algorithms and Heuristics

Information Retrieval Algorithms and Heuristics

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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
ISBN-10: 0792382714
Publisher: Springer Science & Business Media
Publication date: 1998-09-30
Pages: 254
Product dimensions: Height: 9.21 Inches, Length: 6.14 Inches, Weight: 2.755778275 Pounds, Width: 0.69 Inches
Author: David A. Grossman, Ophir Frieder
Language: en
Binding: Hardcover

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