Information Retrieval: Implementing and Evaluating Search Engines

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MIT Press, Jul 23, 2010 - Computers - 606 pages
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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.

 

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Contents

II Indexing
103
III Retrieval and Ranking
257
IV Evaluation
405
V Applications and Extensions
487
VI Appendix
591
Index
597
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About the author (2010)

Stefan BŁttcher is a Site Reliability Engineer at Google. Charles L. A. Clarke and Gordon V. Cormack are Professors of Computer Science at the University of Waterloo's David R. Cheriton School of Computer Science.

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