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Awards
OverviewFull Product DetailsAuthor: Amy N. Langville , Carl D. MeyerPublisher: Princeton University Press Imprint: Princeton University Press Dimensions: Width: 17.80cm , Height: 1.30cm , Length: 25.40cm Weight: 0.482kg ISBN: 9780691152660ISBN 10: 0691152667 Pages: 240 Publication Date: 26 February 2012 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: Temporarily unavailable  The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you. Language: English Table of ContentsReviewsHonorable Mention for the 2006 Award for Best Professional/Scholarly Book in Computer & Information Science, Association of American Publishers [F]or anyone who wants to delve deeply into just how Google's PageRank works, I recommend Google's PageRank and Beyond. --Stephen H. Wildstrom, BusinessWeek This is a worthwhile book. It offers a comprehensive and erudite presentation of PageRank and related search-engine algorithms, and it is written in an approachable way, given the mathematical foundations involved. --Jonathan Bowen, Times Higher Education Supplement This book should be at the top of anyone's list as a must-read for those interested in how search engines work and, more specifically how Google is to meet the needs of so many people in so many ways. --Michael W. Berry, SIAM Review Amy N. Langville and Carl D. Meyer examine the logic, mathematics, and sophistication behind Google's PageRank and other Internet search engine ranking programs... It is an excellent work. --Ian D. Gordon, Library Journal If I were taking, or teaching, a course in linear algebra today, this book would be a godsend. --Ed Gerstner, Nature Physics Langville and Meyer present the mathematics in all its detail... But they vary the math with discussions of the many issues involved in building search engines, the 'wars' between search engine developers and those trying to artificially inflate the position of their pages, and the future of search-engine development... Google's PageRank and Beyond makes good reading for anyone, student or professional, who wants to understand the details of search engines. --James Hendler, Physics Today This book is written for people who are curious about new science and technology as well as for those with more advanced background in matrix theory... Much of the book can be easily followed by general readers, while understanding the remaining part requires only a good first course in linear algebra. It can be a reference book for people who want to know more about the ideas behind the currently popular search engines, and it provides an introductory text for beginning researchers in the area of information retrieval. --Jiu Ding, Mathemathical Reviews The book is very attractively and clearly written. The authors succeed to manage in an optimal way the presentation of both basic and more sophisticated concepts involved in the analysis of Google's PageRank, such that the book serves both audiences: the general and the technical scientific public. --Constantin Popa, Zentralblatt MATH The book under review is excellently written, with a fresh and engaging style. The reader will particularly enjoy the Asides interspersed throughout the text. They contain all kind of entertaining stories, practical tips, and amusing quotes... The book also contains some useful resources for computation. --Pablo Fernndez, Mathematical Intelligencer Google's PageRank and Beyond describes the link analysis tool called PageRank, puts it in the context of web search engines and information retrieval, and describes competing methods for ranking webpages. It is an utterly engaging book. --Bill Satzer, MathDL.maa.org Honorable Mention for the 2006 Award for Best Professional/Scholarly Book in Computer & Information Science, Association of American Publishers [F]or anyone who wants to delve deeply into just how Google's PageRank works, I recommend Google's PageRank and Beyond. --Stephen H. Wildstrom, BusinessWeek This is a worthwhile book. It offers a comprehensive and erudite presentation of PageRank and related search-engine algorithms, and it is written in an approachable way, given the mathematical foundations involved. --Jonathan Bowen, Times Higher Education Supplement This book should be at the top of anyone's list as a must-read for those interested in how search engines work and, more specifically how Google is to meet the needs of so many people in so many ways. --Michael W. Berry, SIAM Review Amy N. Langville and Carl D. Meyer examine the logic, mathematics, and sophistication behind Google's PageRank and other Internet search engine ranking programs... It is an excellent work. --Ian D. Gordon, Library Journal If I were taking, or teaching, a course in linear algebra today, this book would be a godsend. --Ed Gerstner, Nature Physics Langville and Meyer present the mathematics in all its detail... But they vary the math with discussions of the many issues involved in building search engines, the 'wars' between search engine developers and those trying to artificially inflate the position of their pages, and the future of search-engine development... Google's PageRank and Beyond makes good reading for anyone, student or professional, who wants to understand the details of search engines. --James Hendler, Physics Today This book is written for people who are curious about new science and technology as well as for those with more advanced background in matrix theory... Much of the book can be easily followed by general readers, while understanding the remaining part requires only a good first course in linear algebra. It can be a reference book for people who want to know more about the ideas behind the currently popular search engines, and it provides an introductory text for beginning researchers in the area of information retrieval. --Jiu Ding, Mathemathical Reviews The book is very attractively and clearly written. The authors succeed to manage in an optimal way the presentation of both basic and more sophisticated concepts involved in the analysis of Google's PageRank, such that the book serves both audiences: the general and the technical scientific public. --Constantin Popa, Zentralblatt MATH The book under review is excellently written, with a fresh and engaging style. The reader will particularly enjoy the 'Asides' interspersed throughout the text. They contain all kind of entertaining stories, practical tips, and amusing quotes... The book also contains some useful resources for computation. --Pablo Fernndez, Mathematical Intelligencer Google's PageRank and Beyond describes the link analysis tool called PageRank, puts it in the context of web search engines and information retrieval, and describes competing methods for ranking webpages. It is an utterly engaging book. --Bill Satzer, MathDL.maa.org This is a worthwhile book. It offers a comprehensive and erudite presentation of PageRank and related search-engine algorithms, and it is written in an approachable way, given the mathematical foundations involved. -- Jonathan Bowen, Times Higher Education Supplement Langville and Meyer present the mathematics in all its detail... But they vary the math with discussions of the many issues involved in building search engines, the 'wars' between search engine developers and those trying to artificially inflate the position of their pages, and the future of search-engine development... Google's PageRank and Beyond makes good reading for anyone, student or professional, who wants to understand the details of search engines. -- James Hendler, Physics Today This book should be at the top of anyone's list as a must-read for those interested in how search engines work and, more specifically how Google is to meet the needs of so many people in so many ways. -- Michael W. Berry, SIAM Review If I were taking, or teaching, a course in linear algebra today, this book would be a godsend. -- Ed Gerstner, Nature Physics Amy N. Langville and Carl D. Meyer examine the logic, mathematics, and sophistication behind Google's PageRank and other Internet search engine ranking programs... It is an excellent work. -- Ian D. Gordon, Library Journal [F]or anyone who wants to delve deeply into just how Google's PageRank works, I recommend Google's PageRank and Beyond. -- Stephen H. Wildstrom, BusinessWeek This book is written for people who are curious about new science and technology as well as for those with more advanced background in matrix theory... Much of the book can be easily followed by general readers, while understanding the remaining part requires only a good first course in linear algebra. It can be a reference book for people who want to know more about the ideas behind the currently popular search engines, and it provides an introductory text for beginning researchers in the area of information retrieval. -- Jiu Ding, Mathemathical Reviews The book is very attractively and clearly written. The authors succeed to manage in an optimal way the presentation of both basic and more sophisticated concepts involved in the analysis of Google's PageRank, such that the book serves both audiences: the general and the technical scientific public. -- Constantin Popa, Zentralblatt MATH The book under review is excellently written, with a fresh and engaging style. The reader will particularly enjoy the 'Asides' interspersed throughout the text. They contain all kind of entertaining stories, practical tips, and amusing quotes... The book also contains some useful resources for computation. -- Pablo Fernandez, Mathematical Intelligencer Google's PageRank and Beyond describes the link analysis tool called PageRank, puts it in the context of web search engines and information retrieval, and describes competing methods for ranking webpages. It is an utterly engaging book. -- Bill Satzer, MathDL.maa.org Author InformationAmy 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. Tab Content 6Author Website:Countries AvailableAll regions |
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