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Understanding Search Engines - Michael W. Berry, Murray Browne

Understanding Search Engines

Mathematical Modeling and Text Retrieval
Buch | Softcover
184 Seiten
2005 | 2nd Revised edition
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-0-89871-581-1 (ISBN)
CHF 88,95 inkl. MwSt
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.
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 chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

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.

Preface to the second edition; Preface to the first edition; 1. Introduction; 2. Document file preparation; 3. Vector space models; 4. Matrix decompositions; 5. Query management; 6. Ranking and relevance feedback; 7. Searching by link structure; 8. User interface considerations; 9. Further reading; Bibliography; Index.

Erscheint lt. Verlag 1.5.2005
Reihe/Serie Software, Environments and Tools
Verlagsort New York
Sprache englisch
Maße 152 x 228 mm
Gewicht 193 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik Angewandte Mathematik
Sozialwissenschaften Kommunikation / Medien Buchhandel / Bibliothekswesen
ISBN-10 0-89871-581-4 / 0898715814
ISBN-13 978-0-89871-581-1 / 9780898715811
Zustand Neuware
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