Google's PageRank and Beyond: The Science of Search Engine Rankings - Tapa dura

Langville, Amy N.

 
9780691122021: Google's PageRank and Beyond: The Science of Search Engine Rankings
Tapa dura
ISBN 10: 0691122024 ISBN 13: 9780691122021
Editorial: Princeton University Press, 2009

Sinopsis

Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of web page rankings, "Google's PageRank and Beyond" supplies the answers to these and other questions, and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research. The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text. Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided in this title. This title features: many illustrative examples and entertaining asides; MATLAB code; accessible and informal style; and, complete and self-contained section for mathematics review.

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Acerca del autor

Amy N. Langville is Assistant Professor of Mathematics at the College of Charleston in Charleston, South Carolina. She studies mathematical algorithms for information retrieval and text and data mining applications. Carl D. Meyer is Professor of Mathematics at North Carolina State University. In addition to information retrieval, his research areas include numerical analysis, linear algebra, and Markov chains. He is the author of "Matrix Analysis and Applied Linear Algebra".

De la contraportada

"Comprehensive and engagingly written. This book should become an important resource for many audiences: applied mathematicians, search industry professionals, and anyone who wants to learn more about how search engines work."--Jon Kleinberg, Cornell University

"I don't think there are any competitive books in print with the same depth and breadth on the topic of search engine ranking. The content is well-organized and well-written."--Michael Berry, University of Tennessee

De la solapa interior


"Comprehensive and engagingly written. This book should become an important resource for many audiences: applied mathematicians, search industry professionals, and anyone who wants to learn more about how search engines work."--Jon Kleinberg, Cornell University


"I don't think there are any competitive books in print with the same depth and breadth on the topic of search engine ranking. The content is well-organized and well-written."--Michael Berry, University of Tennessee


"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Princeton University Press
Año de publicación
2009
Idioma
Inglés
ISBN 10 
0691122024
ISBN 13 
9780691122021
Encuadernación
Tapa dura
Número de páginas
240
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780691152660: Google's PageRank and Beyond: The Science of Search Engine Rankings

Edición Destacada

ISBN 10:  0691152667 ISBN 13:  9780691152660
Editorial: Princeton Univers. Press, 2012
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