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Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments, Tools), Second Edition
 
 
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Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments, Tools), Second Edition (Paperback)

by Michael W. Berry (Author), Murray Browne (Author) "We expect a lot from our search engines..." (more)
Key Phrases: item normalization, major commercial search engines, nonzero cosines, Bread Search, Child Proofing, Child Home Safety (more...)
3.0 out of 5 stars  (3 customer reviews)

List Price: $35.00
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Editorial Reviews
Ian H. Witten, University of Waikato, SIAM Review, Vol. 42, No. 3, September 2000.
"Here is a small, compact book, written in a refreshingly informal manner, about the techniques of text searching.…" --This text refers to an out of print or unavailable edition of this title.

Review
There is no other information retrieval/search book where the heart is the mathematical foundations. This book is greatly needed to further establish information retrieval as a serious academic, as well as practical and industrial, area. Jaime Carbonell, Carnegie Mellon University

Berry and Browne describe most of what you need to know to design your own search engine. Their strength is the description of the solid mathematical underpinnings at a level that is understandable to competent engineering undergraduates, perhaps with a bit of instructor guidance. They discuss the algorithms used by most commercial search engines, so you may find your use of Google and its kind becomes more effective, too. George Corliss, Marquette University.

This book gives a valuable, generally non-technical, insight into how search engines work, how to improve the users' success in Information Retrieval (IR), and an in-depth analysis of a mathematical algorithm for improving a search engine's performance. Written in an informal style, the book is easy to read and is a good introduction on how search engines operate Christopher Dean, Mathematics Today

Anyone interested in building their own search engine, or looking for a compact and readable introduction to the field of modern information retrieval will find this book to be an excellent first introduction. Tony Donaldson, MAA Reviews

See all Editorial Reviews

Product Details
  • Paperback: 117 pages
  • Publisher: SIAM, Society for Industrial and Applied Mathematics; 2 edition (April 28, 2005)
  • Language: English
  • ISBN-10: 0898715814
  • ISBN-13: 978-0898715811
  • Product Dimensions: 8.9 x 5.8 x 0.3 inches
  • Shipping Weight: 5.6 ounces (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  (3 customer reviews)
  • Amazon.com Sales Rank: #319,346 in Books (See