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Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)(2nd Edition) Paperback – October 21, 2004

ISBN-13: 978-1402030048 ISBN-10: 1402030045 Edition: 2nd

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Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)(2nd Edition) + Modern Information Retrieval: The Concepts and Technology behind Search (2nd Edition) (ACM Press Books) + Introduction to Information Retrieval
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Product Details

  • Paperback: 332 pages
  • Publisher: Springer; 2nd edition (October 21, 2004)
  • Language: English
  • ISBN-10: 1402030045
  • ISBN-13: 978-1402030048
  • Product Dimensions: 6.1 x 0.8 x 9.2 inches
  • Shipping Weight: 12.8 ounces (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #758,987 in Books (See Top 100 in Books)

Editorial Reviews

Review

From the reviews of the second edition: "This is a book that has great breadth and depth a ] . If you are a computer science student a ] this is an excellent textbook. It has comprehensive coverage of different approaches a ] . Headings are relevant to the content and the language used is clear and concise. This makes it a good reference to look up a ] . For those of you directly involved in the exploration of different approaches to algorithmic search a ] this book would be invaluable." (Melanie Kendell, Informer, Issue 17, Winter 2005/2006) --This text refers to the Hardcover edition.

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Customer Reviews

This is a very clear and current book on information storage and retrieval.
calvinnme
This book is recommended for IR practitioners, computer science departments and technical libraries.
Dr. E. Garcia
You could easily spend hours and hours of your time just trying to figure out what to read.
climbhigh

Most Helpful Customer Reviews

13 of 13 people found the following review helpful By Gordon Rios on February 12, 2002
Format: Hardcover
If you're working in the IR industry, or want to develop software in this field, this book is a great starting point. A clarification: this will is not a book for researchers -- instead think of it as a book for advanced practitioners or engineers needing to work in this area. Inside you'll see complete worked examples of several fundamental computations rather than detailed proofs.
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9 of 9 people found the following review helpful By Dr. E. Garcia on September 2, 2005
Format: Paperback
Information Retrieval is a textbook for computer science students and a reference book for IR practitioners. The References section is an excellent starting point for conducting literature research.

The best features of the book are its readability -reviewed by students and IR scientists- and the authors' willingness to provide step-by-step hands-on examples and plenty of graphics. The authors' transparency with how-to calculations encourages readers to learn by doing.

This book is recommended for IR practitioners, computer science departments and technical libraries. It is also recommended for search engine optimization specialists and web developers that need to incorporate search technology, ranking algorithms and heuristics into their projects.
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6 of 6 people found the following review helpful By Geraldo XEXEO on August 31, 2006
Format: Paperback Verified Purchase
The Second Edition of "Information Retrieval", by Grossman and Frieder is one of the best books you can find as a introductory guide to the field, being well fit for a undergraduate or graduate course on the topic. It is somewhat a parallel to "Modern Information Retrieval", by Baeza-Yates and Ribeiro-Neto.

Chapter 2, "Retrieval Strategies", make a very good review of the main information retrieval models. The main characteristic of this chapter is that it also give some introduction to the theory needed to understand the models. In this chapter, the authors take care to provide not only equations, but also examples of how these equations work in small sets of documents, making it easier for student to grasp their workings. It is a long and detailed chapter, maybe the best you can find among the field.

Chapters 3 to 8, make a broad review of IR techniques, however they do not go deep in any technique. The best part is that they have pointers to all the techniques discussed. Those chapters, are actually broad surveys of the title chapter topic.
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Format: Paperback Verified Purchase
Easily the best introduction to the field of IR. Its hallmarks are:
1. very readable (concepts presented in layman terms) and directly applicable (you can literally read and apply the concepts in the real world)
2. excellent survey of the field with an comprehensive compedium of references for further reading (surveys, topical and detailed references)
3. the only book with latest information on IR strategies and utilities - so far (May 2008)

For the learnings you will get out of this book - it is a real BARGAIN. You could easily spend hours and hours of your time just trying to figure out what to read. Its a gem. Its not expensive. Buy it->implement it->realize success from it! buy it now :).

To improve your understanding from a novice level to an intermediatre level, would recommend the following books:
A. Introduction 1st book: Information Retrieval (this book) David Grossman and Ophir Frieder
B. Modern Information Retrieval by Ricardo Baeza-Yates (more technical and deeper)
C. Managing Gigabytes: Compressing and Indexing Documents and Images by by Ian H. Witten, Alistair Moffat, Timothy C. Bell (best for implementing and a decent overview)
D. Programming Collective Intelligence: Building Smart Web 2.0 Applications by Toby Segaran (algos/pseudo-code, good utilities and concise summaries)
F. Mining the web, by Chakrabarti (excellent intro the field of web mining, with some excellent chapters on IR)
G. Books by Salton (vector models and fuzzy sets)
H. IR book by C. J. Rijsbergen (probabilistic models; available online for free)
I. the book by Lesk et. al.
J. Follow-up by reading a ton of papers available on citeseer or via google

Good luck!
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