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Information Retrieval: Algorithms and Heuristics / Edition 2

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Overview

This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms.
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Editorial Reviews

Booknews
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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Product Details

  • ISBN-13: 9781402030048
  • Publisher: Springer Netherlands
  • Publication date: 12/20/2004
  • Series: Information Retrieval Series , #15
  • Edition description: 2nd ed. 2004
  • Edition number: 2
  • Pages: 332
  • Sales rank: 1,019,896
  • Product dimensions: 0.74 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

1 Introduction 1
2 Retrieval strategies 9
3 Retrieval utilities 93
4 Cross-language information retrieval 149
5 Efficiency 181
6 Integrating structured data and text 211
7 Parallel information retrieval 257
8 Distributed information retrieval 275
9 Summary and future directions 291
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