This is the companion website for the following book.
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.
You can order this book at CUP, at your local bookstore or on the internet. The best search term to use is the ISBN: 0521865719.
The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course we have been teaching in various forms at Stanford University and at the University of Stuttgart.
We’d be pleased to get feedback about how this book works out as a textbook, what is missing, or covered in too much detail, or what is simply wrong. Please send any feedback or comments to: informationretrieval (at) yahoogroups (dot) com
Online resources
Apart from small differences (mainly concerning copy editing and figures), the online editions should have the same content as the print edition. However, we are planning to fix errata in the online editions every few months or so.
The following materials are available online. The date of last update is given in parentheses.
- HTML edition (2008.06.01)
- PDF of the book for online viewing (with nice hyperlink features, 2008.07.12)
- PDF of the book for printing (2008.05.27)
- PDFs of individual chapters (2008.05.27)
- slides (2009.01.01)
- discussion forums (2008.09.12, posting should now work for new users)
- a moodle with interactive exercises (2008.09.05, guest access has been enabled)
- solutions to the exercises (2007.12.31, you will need to register with CUP)
- errata (2008.07.12)
Information retrieval resources
A list of information retrieval resources is also available.
Introduction to Information Retrieval: Table of Contents
chapter
resources
Front matter (incl. table of notations)
pdf
02
The term vocabulary & postings lists
pdf html
03
Dictionaries and tolerant retrieval
pdf html
04
Index construction
pdf html
06
Scoring, term weighting & the vector space model
pdf html
07
Computing scores in a complete search system
pdf html
08
Evaluation in information retrieval
pdf html
09
Relevance feedback & query expansion
pdf html
11
Probabilistic information retrieval
pdf html
12
Language models for information retrieval
pdf html
13
Text classification & Naive Bayes
pdf html
14
Vector space classification
pdf html
15
Support vector machines & machine learning on documents
pdf html
16
Flat clustering
pdf html
html
17
Hierarchical clustering
pdf html
18
Matrix decompositions & latent semantic indexing
pdf html
20
Web crawling and indexes
pdf html
Bibliography & Index
pdf
bibtex file
bib
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