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Introduction to Information Retrieval [Hardcover]

Christopher D. Manning , Prabhakar Raghavan , Hinrich Schütze
4.5 out of 5 stars  See all reviews (19 customer reviews)

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Book Description

July 7, 2008 0521865719 978-0521865715 1
Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of 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. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

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Introduction to Information Retrieval + Foundations of Statistical Natural Language Processing + Speech and Language Processing, 2nd Edition
Price for all three: $273.21

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Editorial Reviews

Review

"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

"Highly recommended."
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

Book Description

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

Product Details

  • Hardcover: 496 pages
  • Publisher: Cambridge University Press; 1 edition (July 7, 2008)
  • Language: English
  • ISBN-10: 0521865719
  • ISBN-13: 978-0521865715
  • Product Dimensions: 10.1 x 7 x 1.2 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (19 customer reviews)
  • Amazon Best Sellers Rank: #348,815 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews
30 of 31 people found the following review helpful
5.0 out of 5 stars Great Stuff August 22, 2008
Format:Hardcover
I am a big fan of the authors 1999 book on Statistical Natural Language Processing, and I and was thrilled when I found this new book online -- just search for "Information Retrieval" on Google.

In these two books, they describe the theory behind a vast toolbox which can be used to construct new tools/products for the Internet. Now I can go back to them when the need arises.

For starters, I appreciate the detailed theoretical explanations of topics that I could not find in other texts, and the references to related work are especially helpful. One of the other books I read was Information Retrieval by Grossman, which is an older book but has a more condensed style compared to this. Grossman's discussion of clustering was more high level and referenced a few more papers that I found useful. That helped increase my interest to read through these chapters in which offer greater detail.

Before I felt like I could place each topic in its appropriate context, I had to spend six months of reading both the books, playing with code and finding s/w packages, searching the research literature, reading papers and other books, and then cycling back to the books. Here's are some suggestions for things I'd like to see:

1. A set of recomended programming tools: in some books on Perl -- such as the chapter "Natural Language Tools" in pages 149-171 in "Advanced Perl Programming" by Simon Cozens (O'Reilly) -- you get a very "quick & dirty" introduction to maybe 20-30% of the concepts in these two books along with ways to implement and play around with them. Although Perl has many natural language processing tools, the Cozens book cuts to the chase, explains which are the best tools, and shows you how to use them.
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15 of 15 people found the following review helpful
5.0 out of 5 stars My new favorite book on search February 6, 2009
Format:Hardcover|Verified Purchase
Managing Gigabytes used to be my favorite book on search, but it is getting quite dated as this point. This new book is by three search gurus, Chris Manning, Prabhakar Raghavan (head of Yahoo Research), and Hinrich Schutze, and the depth of their expertise shows.

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.
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9 of 9 people found the following review helpful
5.0 out of 5 stars Good for corpus linguists too September 25, 2010
Format:Kindle Edition|Verified Purchase
I have no desire to build an internet search engine, so I'm not the target audience. However, I do work with large corpora, some of which are unindexed. When one search I programmed (in R) took 14 hours to complete (this after one attempt produced unusable results due to a bug and another crashed twelve hours in due to the power saver mode kicking in), I knew I had to find a better way.

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.
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7 of 7 people found the following review helpful
5.0 out of 5 stars nice book! September 17, 2008
By S. Oh
Format:Hardcover|Verified Purchase
Although i'm a newbie in information retrieval field (I'm more of a machine learning, computer vision, timeseries person),
I like the book most for the following two reasons :
(1) detailed explanation into the level of implementation in many cases (data structures//memory size etc..)
(2) good review on practice vs. theory. The authors present diverse attractive theories, and on the other hand, discusses why sometimes just simpler methods are hard to be beaten down by those more complicated methods from their experience in practice.

I like that!
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4 of 4 people found the following review helpful
5.0 out of 5 stars An excelent buy September 2, 2008
Format:Hardcover|Verified Purchase
This is my first book about information retrieval, and I think that is perfect! The book cover all the modern topics in the information retrieval field. It's very clear and really simple to understand.
Great book!
Congratulations to the authors!
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3 of 3 people found the following review helpful
5.0 out of 5 stars Nice Introduction Text April 6, 2012
Format:Hardcover|Verified Purchase
The company I was working for started using Elastic search (which is built on top of Lucene), so I had to dive into details of Lucene pretty deeply. Since I had no prior background in Information Retrieval field, I decided to learn the theory first and picked up this book for that purpose. This book is a nice introductory text on Information Retrieval covering a lot of ground from index construction including posting lists, tolerant retrieval, different types of queries (boolean, phrase etc), scoring, evalution of information retrieval systems, feedback mechanisms, classifcations, clustering and crawling. Overall I liked the authors presentation style in this book. The concepts are presented very clearly for the most part. With the exception of a few chapters, it's not too math heavy, so it's suited for a wider audience from that perpsective. Web crawling chapters although small are really good. This book is written such that each chapter can be covered in one lecture, so it's nice from instructor's stand point as well. This book is the text used in some schools for Information Retrieval class. You actually don't have to buy this book since it's available online for free (although the page numbers don't match exactly, so if you are taking a class and instructor refers to a certain page, it could be a different page number on the online version). I only skipped a few chapters (Chapter 18 Latent Semantic Indexing for example) but otherwise read the book from cover to cover. It took me two months to read this book but it was well worth it. When I was done, I felt like I had a good understanding of foundations of Information Retrieval field. Since then I looked into Lucene details (using Lucene in Action) and it not only made a lot more sense but actually more enjoyable. Highly recommended without any reservation.
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Most Recent Customer Reviews
5.0 out of 5 stars Great Book
Very clean and written so that you can grasp the material if you take your time. Unlike other books, it doesn't just throw a plethora of equations at you and leave you to fend for... Read more
Published 19 days ago by Jason S
5.0 out of 5 stars Excellent Text
This is an excellent text with a vast amount of information on how the Internet works and how to make it work better for you. Read more
Published 8 months ago by A. Mefford
5.0 out of 5 stars Simply Fabulous
Information retrieval is fast becoming the prevalent method of search. Whether it be via the internet, data warehouse, or the mounds of digital (unstructured) "big data",... Read more
Published 10 months ago by Blue Chip
4.0 out of 5 stars Detailed explanation about the topics
I have found enough examples to convince me about the topics. The book also arrived in in time. So I think it is worthy to buy this kind of products from amazon...
Published 16 months ago by Fahmida Hamid
4.0 out of 5 stars a mostly satisfactory introduction, but lacking in depth
3.5 stars if half stars were allowed.

I used this book to teach an information retrieval course at CSU Long Beach for seniors and graduate students. Read more
Published on November 24, 2010 by Todd Ebert
4.0 out of 5 stars good book for beginner
if you want to have a basic understanding about search engine, this book will be the best choice. however, if you hope to do research in this area, this book is not enough.
Published on October 26, 2010 by LZY
4.0 out of 5 stars IR book
after reading 50% from this book. I become familiar with some terms and concepts of IR world.
Published on March 11, 2010 by F. Alahmari
5.0 out of 5 stars Good book, worth the money
I ordered this book for a class that I'm taking at Texas A&M and received this within a few days of buying it. Read more
Published on October 3, 2009 by KB
5.0 out of 5 stars Excellent book, but not for beginners
This is an excellent book, which very rapidly takes the reader to the heart of this very important field. While its title is "Introduction to.. Read more
Published on April 12, 2009 by Jim Breen
3.0 out of 5 stars Could and should be alot better
Gratuitous use of Greek symbolism coupled with a hit and miss approach with examples (sometimes they are very good and sometimes they just don't bother) mean that I found myself... Read more
Published on March 7, 2009 by wooks
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