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Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments and Tools) Paperback – 1 May 2005

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'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

Book Description

The second edition of this text covers many of the key design issues for building search engines, emphasizing the important role that applied mathematics plays in improving information retrieval. Important data structures, algorithms, and software are discussed, as well as user-centered issues such as interfaces, manual indexing, and document preparation.

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4.0 out of 5 starsGood Introduction
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5.0 out of 5 starsLinear Algebra, Numerical Linear Algebra, and Search Engine
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