Information Retrieval

Implementing and Evaluating Search Engines

Stefan Büttcher, Charles L. A. Clarke (University of Waterloo), Gordon V. Cormack (University of Waterloo)

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English

MIT Press
12 February 2016

Internet searching; Information retrieval

Series: The MIT Press

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.

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.

By: Stefan Büttcher, Charles L. A. Clarke (University of Waterloo), Gordon V. Cormack (University of Waterloo)
Imprint: MIT Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 203mm, Spine: 27mm
Weight: 1.039kg
ISBN: 9780262528870
ISBN 10: 0262528878
Series: The MIT Press
Pages: 632
Publication Date: 12 February 2016
Recommended Age: From 18 to 99 years
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Stefan B ttcher is a Software Engineer at Google. Charles L. A. Clarke is a Professor of Computer Science at the University of Waterloo's David R. Cheriton School of Computer Science. Gordon V. Cormack is a Professor of Computer Science at the University of Waterloo's David R. Cheriton School of Computer Science.

Reviews for Information Retrieval: Implementing and Evaluating Search Engines

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

Winner of <PrizeName>Honorable Mention, 2010 American Publishers Award for Professional and Scholarly Excellence (PROSE) in the Computing and Information Sciences category</PrizeName> 2010
Winner of Honorable Mention, 2010 American Publishers Award for Professional and Scholarly Excellence (PROSE) in the Computing and Information Sciences category 2010
Winner of Honorable Mention, 2010 American Publishers Award for Professional and Scholarly Excellence (PROSE) in the Computing and Information Sciences category</PrizeName> 2010