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Understanding Search Engines
Michael W. Berry
€ 59.42
€ 54.83
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Description for Understanding Search Engines
Paperback. This text covers design issues for building search engines, emphasizing the role that applied mathematics plays in improving information retrieval. Series Editor(s): Dongarra, Jack. Series: Software, Environments and Tools. Num Pages: 184 pages, Illustrations. BIC Classification: GLF; PBWH; UMB; UYA. Category: (P) Professional & Vocational. Dimension: 227 x 153 x 7. Weight in Grams: 202.
The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval 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. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The ... Read more
The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval 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. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The ... Read more
Product Details
Format
Paperback
Publication date
2005
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
184
Condition
New
Number of Pages
184
Place of Publication
New York, United States
ISBN
9780898715811
SKU
V9780898715811
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3
About Michael W. Berry
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 ... Read more
Reviews for Understanding Search Engines
'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 ... Read more