Introduction to Information Retrieval
Excerpt
This is the companion website for the following book.
This is the companion website for the following book.
Christopher D. Manning, Prabhakar Raghavan and Hinrich SchĂŒtze, 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, the University of Stuttgart and the University of Munich.
Weâd 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.
The following materials are available online. The date of last update is given in parentheses.
- HTML edition (2009.04.07)
- PDF of the book for online viewing (with nice hyperlink features, 2009.04.01)
- PDF of the book for printing (2009.04.01)
- PDFs of individual chapters (2009.04.01)
- Stanford slides and assignments (2013.09.13)
- University of Munich slides and assignments (2013.09.13)
- errata (2009.03.31)
- 8th European Summer School on information Retrieval (2011.08.28)
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) | ||||
01Â Â | Boolean retrieval | pdf html | ||
02 | The term vocabulary & postings lists | pdf html | ||
03 | Dictionaries and tolerant retrieval | pdf html | ||
04 | Index construction | pdf html | ||
05 | Index compression | 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 | ||
10 | XML retrieval | 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 | ||
19 | Web search basics | pdf html | ||
20 | Web crawling and indexes | pdf html | ||
21 | Link analysis | pdf html | ||
Bibliography & Index | ||||
bibtex file | bib |