Goodreads helps you keep track of books you want to read.
Start by marking “Introduction to Information Retrieval” as Want to Read:
Introduction to Information Retrieval
Enlarge cover
Rate this book
Clear rating
Open Preview

Introduction to Information Retrieval

4.22  ·  Rating details ·  294 Ratings  ·  18 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
More Details... edit details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Introduction to Information Retrieval, please sign up.

Be the first to ask a question about Introduction to Information Retrieval

Community Reviews

(showing 1-30)
Rating details
Sort: Default
|
Filter
Emily
Sep 12, 2011 rated it really liked it
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.
Alex Ott
May 15, 2010 rated it it was amazing
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)...
Moreshwar Datye
Good intro;
Nick Black
Feb 16, 2009 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
Maria Mateva
Feb 24, 2013 rated it it was amazing
Shelves: science
Christopher Manning is a rock star in both the NLP and information retrieval fields.

I used this book as a guide and source for the course in IR in Sofia University.
It is well-written, gradual and observes most aspects of IR, with some machine learning, computational linguistics and algorithmic flavours. I recommend it to anyone interested in the field.
Joe Malicki
Jun 01, 2009 rated it it was amazing
Shelves: cs
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.
Ji
Jan 28, 2017 rated it liked it
Scanned through quickly. A bit disappointed since I don't feel like learning much new things. Most important concepts are either in the lines of Data management or data mining techniques. Maybe I've missed the main part.
Anosh
Jul 09, 2012 rated it really liked it
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.
Ryfm
Oct 13, 2010 rated it really liked it
good introduction for everyone who plans to work in IR field
Valia
Feb 11, 2012 rated it it was amazing
Shelves: ai
Хорошая книга. Непонятно только, куда это теперь все применять.
Anand
Mar 25, 2013 rated it really liked it
Excellent read on IR for beginners'
Alon Gutman
Sep 19, 2012 rated it really liked it
Very good introduction to search and also good contains good introduction to Machine learning.
Frank
Jul 23, 2012 rated it it was amazing
This is more like a practical hands-on on all aspects of modern IR. Fantastic read!
Richa Sharma
awesome book,explains the detail of how information is being retrieved is great. Very helpful and explanatory content.
Kairiki
rated it it was amazing
Mar 03, 2012
Philip Scuderi
rated it liked it
Feb 25, 2013
Ehnaton
rated it really liked it
Jan 05, 2017
Sergey Chebotarev
rated it really liked it
Aug 27, 2016
Eugene
rated it it was amazing
Aug 03, 2012
Barrett Ames
rated it liked it
Jun 13, 2015
Nicolas
rated it really liked it
Aug 24, 2012
Sam
Aug 18, 2010 rated it really liked it
Good broad-based overview of information retrieval concepts
Vipul Ved Prakash
rated it it was amazing
Sep 28, 2017
Almer
rated it it was amazing
Feb 13, 2014
Xing Hu
rated it it was amazing
Dec 15, 2015
David
rated it liked it
Jan 01, 2012
수원 서
rated it really liked it
Jan 21, 2016
Martin
rated it really liked it
Sep 24, 2012
H H
rated it it was amazing
Mar 29, 2013
Dimalit
rated it really liked it
Mar 27, 2014
« previous 1 3 4 5 6 7 8 9 10 next »
There are no discussion topics on this book yet. Be the first to start one »
  • Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
  • Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
  • Mining of Massive Datasets
  • Machine Learning
  • Programming Collective Intelligence: Building Smart Web 2.0 Applications
  • Probabilistic Graphical Models: Principles and Techniques
  • Pattern Recognition and Machine Learning
  • Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology
  • Pattern Classification
  • Information Theory, Inference and Learning Algorithms
  • Taming Text
  • Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
  • Modern Information Retrieval
  • Natural Language Processing with Python
  • Machine Learning: A Probabilistic Perspective
  • The Art of Multiprocessor Programming
  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  • Machine Learning in Action
Professor of Linguistics and Computer Science, Natural Language Processing Group, Stanford University
More about Christopher D. Manning...
“A human is not a device that reliably reports a gold standard judgment of relevance of a document to a query.” 1 likes
“In principle, more analytic power can be achieved by varying multiple things at once in an uncorrelated (random) way, and doing standard analysis, such as multiple linear regression. In practice, though, A/B testing is widely used, because A/B tests are easy to deploy, easy to understand, and easy to explain to management.” 1 likes
More quotes…