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Understanding Search Engines 2nd Edition Paperback: Mathematical Modeling and Text Retrieval: 17 (Software, Environments and Tools, Series Number 17) - Softcover
Inhaltsangabe
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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Críticas
'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
Biografía del autor
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.
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- VerlagSociety for Industrial and Applied Mathematics
- Erscheinungsdatum2005
- ISBN 10 0898715814
- ISBN 13 9780898715811
- EinbandTapa blanda
- SpracheEnglisch
- Auflage2
- Anzahl der Seiten184
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Understanding Search Engines : Mathematical Modeling and Text Retrieval
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Society for Industrial and Applied Mathematics, 2005
ISBN 10: 0898715814
ISBN 13: 9780898715811
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Understanding Search Engines: Mathematical Modeling and Text Retrieval
Verlag:
Society for Industrial and Applied Mathematic, 2005
ISBN 10: 0898715814
ISBN 13: 9780898715811
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Understanding Search Engines: Mathematical Modeling and Text Retrieval
Verlag:
Society for Industrial and Applied Mathematic, 2005
ISBN 10: 0898715814
ISBN 13: 9780898715811
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Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments, Tools), Second Edition
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Society for Industrial & Applied, 2005
ISBN 10: 0898715814
ISBN 13: 9780898715811
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Understanding Search Engines - Mathematical Modeling and Text Retrieval
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ISBN 10: 0898715814
ISBN 13: 9780898715811
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Understanding Search Engines: Mathematical Modeling and Text Retrieval
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Zustand: New. This second edition of 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.&Uu. Artikel-Nr. 595134975
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