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Information Retrieval

Algorithms and Heuristics

  • Book
  • © 1998

Overview

Authors:
  1. David A. Grossman

    1. Office of Research and Development, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Ophir Frieder

    1. Illinois Institute of Technology, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 461)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Introduction

    • David A. Grossman, Ophir Frieder
    Pages 1-9

  3. Retrieval Strategies

    • David A. Grossman, Ophir Frieder
    Pages 11-81

  4. Retrieval Utilities

    • David A. Grossman, Ophir Frieder
    Pages 83-132

  5. Efficiency Issues Pertaining to Sequential IR Systems

    • David A. Grossman, Ophir Frieder
    Pages 133-151

  6. Integrating Structured Data and Text

    • David A. Grossman, Ophir Frieder
    Pages 153-184

  7. Parallel Information Retrieval Systems

    • David A. Grossman, Ophir Frieder
    Pages 185-199

  8. Distributed Information Retrieval

    • David A. Grossman, Ophir Frieder
    Pages 201-219

  9. The Text Retrieval Conference (TREC)

    • David A. Grossman, Ophir Frieder
    Pages 221-225

  10. Future Directions

    • David A. Grossman, Ophir Frieder
    Pages 227-229

  11. Back Matter

    Pages 231-254
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Keywords

About this book

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.

Authors and Affiliations

  • Office of Research and Development, USA

    David A. Grossman

  • Illinois Institute of Technology, USA

    Ophir Frieder

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