From the book lists at Adware Report:

All information current as of 19:17:20 Pacific Time, Monday, 21 February 2005.

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

   by Michael W. Berry / Murray Browne

    Soc for Industrial & Applied Math
    01 June, 1999


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Editorial description(s):

Book News, Inc.
Berry and Browne (computer science, U. of Tennessee) discuss key design issues in information retrieval about which their computer science peers and mathematicians may be clueless, yet have much to offer. Details of computational methods for automated indexing are relegated to sidebars, so as not to intimidate those who have not ventured beyond introductory level calculus and algebra. Annotates suggested further readings in addition to the bibliography. SIAM is the Society for Industrial and Applied Mathematics. -- Copyright © 1999 Book News, Inc., Portland, OR All rights reserved

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...."

CHOICE, Vol. 38, No. 2, October 2000.
"...Any search engine user ought to dip into this accessible book for a reality check. Highly recommended."

Art Blevins,
"...It has been used so often that it's barely legible from all the coffee stains!"

Christopher Dean, Mathematics Today, October 1999.
"...The book is easy to read and is a good introduction on how search engines operate..."

About the Author
Michael W. Berry is Associate Professor of Computer Science at the University of Tennessee. He is a member of SIAM, ACM, and the IEEE Computer Society. He is coauthor of Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods (SIAM, 1993). Murray Browne is a Research Associate in the Department of Computer Science at the University of Tennessee. He is a member of ASIS and has published numerous essays, book reviews, and feature stories.

Book Description
Understanding Search Engines discusses many of the key design issues for building search engines and emphasizes the important roles that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation.

The authors bridge the gap between applied mathematics and information retrieval. They discuss some of the current problems in information retrieval that may not be familiar to applied mathematicians and computer scientists and present some of the driving computational methods (SVD, SDD) for automated conceptual indexing.

This book uses a new approach to the subject by introducing topics in a nontechnical way and provides insights into common problems found in information retrieval. The more mathematical details are offset from the regular text.

Reader review(s):

Appreciations from a novice., June 29, 2000
I read this book because I am starting academic research on search engines. It was one of my first books on the subject. It actually deals with two aspects: (1) relevant issues in search engine design, and (2) a mathematically sound approach in building and querying large index strucutres. The explanation in the book on both aspects is short but to the point and explained in an understandable way. It also contains a short list + description of some key references. Great !

Read at the bookstore, no need to buy, May 19, 2002
This little booklet is best to be read at the bookstore.

There is no need to buy. In fact, buying it is a waste
of money, given the $[money] price tag. That is about a $[money]
a page.

So, save your money and time...

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