- Hardcover: 506 pages
- Publisher: Cambridge University Press; 1 edition (July 7, 2008)
- Language: English
- ISBN-10: 0521865719
- ISBN-13: 978-0521865715
- Product Dimensions: 7 x 1.3 x 10 inches
- Shipping Weight: 2.2 pounds (View shipping rates and policies)
- Average Customer Review: 26 customer reviews
- Amazon Best Sellers Rank: #31,350 in Books (See Top 100 in Books)
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Introduction to Information Retrieval 1st Edition
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"This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages. You'll see how MapReduce and other approaches to parallelism allow us to go beyond megabytes and to efficiently manage petabytes."
Peter Norvig, Director of Research, Google Inc.
"Introduction to Information Retrieval is a comprehensive, up-to-date, and well-written introduction to an increasingly important and rapidly growing area of computer science. Finally, there is a high-quality textbook for an area that was desperately in need of one."
Raymond J. Mooney, Professor of Computer Sciences, University of Texas at Austin
"Through compelling exposition and choice of topics, the authors vividly convey both the fundamental ideas and the rapidly expanding reach of information retrieval as a field."
Jon Kleinberg, Professor of Computer Science, Cornell University
H.Levkowitz, Choice Magazine
"Introduction to Information Retrieval is a comprehensive, authoritative, and well-written overview of the main topics in IR. The book offers a good balance of theory and practice, and is an excellent self-contained introductory text for those new to IR."
Olga Vechtomova, Computational Linguistics
Coherent and up -to -date, this textbook for advanced undergraduate and beginning graduate students in computer science covers all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections
Top customer reviews
I knew from the free sample that this book was what I was looking for. Thinking this would be a completely a new field to me, I was surprised how much I already knew. Some of it is not relevant to corpus linguists (result ranking for example), but if you're a corpus linguist and want to build an index for your corpus, I doubt you'll find a better book than this.
And the Kindle edition is done well, which is not always the case. Websites are hyperlinked and you can jump to the next or previous section with the 5-way controller.
This book not only describes how to build a search engine (including crawling, indexing, ranking, classification, and clustering), but also has many of the insights you can only get from lengthy experience using these techniques at large scale.
Definitely my new favorite book on search. If you work in search or just have an interest in the field, it is a great read.
Congratulations to the authors!
The content of the book is easy to understand but not shallow. A very good book. Highly recommend for those who are interested in Information Retrieval, Social Media retrieval or Text analysis fields.