Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science) [Hardcover]

David A. Grossman (Author), Ophir Frieder (Author)

Book Description

ISBN-10: 0792382714 | ISBN-13: 978-0792382713 | Publication Date: September 30, 1998 | Edition: 1

Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors.

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 an alternate Hardcover edition.

Product Details

• Hardcover: 276 pages
• Publisher: Springer; 1 edition (September 30, 1998)
• Language: English
• ISBN-10: 0792382714
• ISBN-13: 978-0792382713
• Product Dimensions: 9.4 x 6.3 x 0.9 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (8 customer reviews)
• Amazon Best Sellers Rank: #2,194,649 in Books (See Top 100 in Books)
  • #51 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Heuristic & Constrained Search

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Customer Reviews

Most Helpful Customer Reviews

13 of 13 people found the following review helpful:

4.0 out of 5 stars Extremely Clear "Fundamentals" Book, February 12, 2002

By 

Gordon Rios (Palo Alto, CA United States) - See all my reviews

This review is from: Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science) (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.

9 of 9 people found the following review helpful:

5.0 out of 5 stars Great reference and textbook for IR practitioners and students, September 2, 2005

By 

Dr. E. Garcia - See all my reviews

This review is from: Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)(2nd Edition) (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.

6 of 6 people found the following review helpful:

5.0 out of 5 stars A Good Guide to The Field, August 31, 2006

By 

Geraldo XEXEO "Computer Geek and Professor" (Rio de Janeiro, Brazil) - See all my reviews
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This review is from: Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)(2nd Edition) (Paperback)

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.