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Computers Search Engines

Information Retrieval

Implementing and Evaluating Search Engines

by (author) Stefan Buttcher, Charles L.A. Clarke & Gordon V. Cormack

Publisher
MIT Press
Initial publish date
Feb 2016
Category
Search Engines, Information Technology
  • Paperback / softback

    ISBN
    9780262528870
    Publish Date
    Feb 2016
    List Price
    $66.00

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Description

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.

Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus—a multiuser open-source information retrieval system developed by one of the authors and available online—provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

About the authors

Stefan Büttcher is a Software Engineer at Google.

Stefan Buttcher's profile page

Charles L. A. Clarke is a Professor of Computer Science at the University of Waterloo's David R. Cheriton School of Computer Science.

Charles L.A. Clarke's profile page

Gordon V. Cormack is a Professor of Computer Science at the University of Waterloo's David R. Cheriton School of Computer Science.

Gordon V. Cormack's profile page

Editorial Reviews

This book is a fine addition to the growing literature on information retrieval (IR).—Donald H. Kraft, Computing Reviews