Introduction to Information Retrieval
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Introduction to Information Retrieval

4.2 of 5 stars 4.20  ·  rating details  ·  128 ratings  ·  12 reviews
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 sy...more
Hardcover, 482 pages
Published July 1st 2008 by Cambridge University Press
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Killer Rabbit
Where is my info cheese?
Everybody wants some info cheese. But to get the cheese, you gotta understand the search engine maze. And it would be kinda helpful if the guy who designs the maze doesn't get distracted by the joy of code writing during the maze design process, so you don't get directed to a ball of lint in the corner, as opposed to that nice wheel of cheddar that you were actually wanting.

OK, enough of the extended analogy. What I love about this text is that it gives you enough discuss...more
Emily
Sep 12, 2011 Emily rated it 4 of 5 stars
Shelves: 2011
This is a very useful book, available for free online. It introduces the major concepts of IR in a clear way. At the end of most chapters is an optional discussion of advanced topics. I wish the book went a little bit into examples of programming, but that's for someone else to take on, I guess.

Librarians should be forced to read at least parts of this book in school, to better understand why Google is eating our lunch.
Nick Black
Feb 16, 2009 Nick Black marked it as to-read
Recommended to Nick by: Greg Linden
A strong review from http://glinden.blogspot.com/2009/02/b... plus the free pdf (hurrah!) at http://www-csli.stanford.edu/~hinrich... equals an excited dankling, especially as I'm pretty weak overall on search (we leave the n-dimensional SVM's -- and machine learning in general -- to our scientists, whereas my job is to take their data and operator schemata and set it to soaking every last cycle and flooding every last bus), but it's becoming pretty much a canonical element of the "advanced impl...more
Alex Ott
Great book that provides introduction information retrieval + related topics, such as, elements of machine learning, etc. There is good balance between theoretical foundations & simplicity, but it doesn't as simple as other "popular" books, such as "Programming Collective Intelligence", etc.
You can also find "pre-release" version of the book in the form of PDF (see links in other reviews)...
Joe Malicki
Amazing book. An information retrieval book written by computer scientists/engineers rather than librarians. That shouldn't be something worth getting excited about, but unfortunately all of the other good people apparently just went to work for Google instead of writing good textbooks.
Anosh
I liked the book overall. I loved the algorithmic optimizations and the attention paid to hardware during algorithm design. I didn't like the number of tricks/hacks in the "intelligence" part in the field of information retrieval.
Alon Gutman
Very good introduction to search and also good contains good introduction to Machine learning.
Frank
This is more like a practical hands-on on all aspects of modern IR. Fantastic read!
Ryfm
good introduction for everyone who plans to work in IR field
Valia
Oct 18, 2012 Valia rated it 5 of 5 stars
Shelves: ai
Хорошая книга. Непонятно только, куда это теперь все применять.
Sam
Good broad-based overview of information retrieval concepts
Anand
Excellent read on IR for beginners'
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Professor of Linguistics and Computer Science, Natural Language Processing Group, Stanford University
More about Christopher D. Manning...
Foundations of Statistical Natural Language Processing Ergativity: Argument Structure and Grammatical Relations Probabilistic Linguistics Complex Predicates and Information Spreading in LFG

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“With limited training data, a more constrained model tends to perform better.” 1 likes
“A human is not a device that reliably reports a gold standard judgment of relevance of a document to a query.” 0 likes
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