Understanding Search Engines
Mathematical Modeling and Text Retrieval
2nd Edition
Published on 31. May 2005
Book
Paperback/Softback
134 pages
978-0-89871-581-1 (ISBN)
Description
The second edition of Understanding Search Engines follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation.
Readers will find that the second edition includes significant changes that bring the text up to date on current information retrieval methods. For example, the authors have added a completely new chapter on link-structure algorithms used in search engines such as Google, and the chapter on user interface has been rewritten to specifically focus on search engine usability. To reflect updates in the literature on information retrieval, the authors have added new recommendations for further reading and expanded the bibliography. In addition, the index has been updated and streamlined to make it more reader friendly.
Readers will find that the second edition includes significant changes that bring the text up to date on current information retrieval methods. For example, the authors have added a completely new chapter on link-structure algorithms used in search engines such as Google, and the chapter on user interface has been rewritten to specifically focus on search engine usability. To reflect updates in the literature on information retrieval, the authors have added new recommendations for further reading and expanded the bibliography. In addition, the index has been updated and streamlined to make it more reader friendly.
Reviews / Votes
'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 ReviewsMore details
Series
Edition
Second Edition
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Edition type
New edition
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 151 mm
Thickness: 9 mm
Weight
186 gr
ISBN-13
978-0-89871-581-1 (9780898715811)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Michael W. Barry | Murray Browne | Michael W. Berry
Understanding Search Engines
Mathematical Modeling and Text Retrieval
Book
07/1999
Society for Industrial & Applied Mathematics,U.S.
€68.91
Article exhausted; check for reprint
Persons
Michael W. Berry is a Professor and Interim Department Head in the Department of Computer Science at the University of Tennessee and a faculty member in the Graduate School in Genome Science & Technology Program at the University of Tennessee and Oak Ridge National Laboratory. His current research interests include information retrieval, data mining, scientific computing, computational science, numerical linear algebra, and parallel computation. Murray Browne is a Research Associate in the Computer Science Department at the University of Tennessee. He is a member of the American Society for Information Science and Technology and has published numerous essays, book reviews, newspaper articles, and feature stories.
Content
Preface to the Second Edition
Preface to the First Edition
Chapter 1: Introduction
Chapter 2: Document File Preparation
Chapter 3: Vector Space Models
Chapter 4: Matrix Decompositions
Chapter 5: Query Management
Chapter 6: Ranking and Relevance Feedback
Chapter 7: Searching by Link Structure
Chapter 8: User Interface Considerations
Chapter 9: Further Reading
Bibliography
Index.
Preface to the First Edition
Chapter 1: Introduction
Chapter 2: Document File Preparation
Chapter 3: Vector Space Models
Chapter 4: Matrix Decompositions
Chapter 5: Query Management
Chapter 6: Ranking and Relevance Feedback
Chapter 7: Searching by Link Structure
Chapter 8: User Interface Considerations
Chapter 9: Further Reading
Bibliography
Index.