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Google's PageRank and Beyond: The Science of Search Engine Rankings, by Amy N. Langville Carl D. Meyer
Get Free Ebook Google's PageRank and Beyond: The Science of Search Engine Rankings, by Amy N. Langville Carl D. Meyer
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Review
"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 Fernández, Mathematical Intelligencer
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From the Back Cover
"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
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Product details
Paperback: 240 pages
Publisher: Princeton University Press (February 26, 2012)
Language: English
ISBN-10: 0691152667
ISBN-13: 978-0691152660
Product Dimensions:
6.8 x 0.8 x 10.2 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
18 customer reviews
Amazon Best Sellers Rank:
#502,021 in Books (See Top 100 in Books)
The authors give a wonderfully healthy explanation of the history and mechanics of search engine technology and system architecture, then deep dive into both the PageRank and HITS algorithms. It's very good content with a hardcore emphasis on the underlying math.At this point, the material is in slight need of updating with more recent enhancements to Google's platform like RankBrain, but the book is still a valuable addition to any enthusiast's library. A must-read if you need to know how the stuff works.
This book is a good review of the mathematics behind PageRank and other algorithms, such as HITS. It can be used as an auxilliary text in bth graduate and undergraduate courses.The main characteristic of the book is that it covers a subject that is not present in most textbooks of the area.
i am working on page summarisation and i actually needed a mathematical graph method to apply and this book worked.I like the aside. it makes me read it over and over again.Good book with embedded ideas.
The authors subdivide the book into two main sections: the first few chapters, which are conversational in the manner in which they address pagerank and similar algorithms, and the subsequent chapters, which grow increasingly mathematical. Both authors have strong backgrounds in mathematics, hence that focus. Understanding that, the book is very approachable, lucid and useful in understanding the treated subject matter.
"Google's PageRank and Beyond: The Science of Search Engine Rankings" by Amy N. Langville and Carl D. Meyer is a foremost book presenting the captivating mystery of Google. Never before in the whole technological history of the world an idea that is so apparently simple got such an immediate overwhelming practical recognition. This cannot be explained solely by an extraordinary ingenuity. In our view, the PageRank approach had inadvertently revealed the basic mechanism in the workings of the brain - the Axiom of Choice, a mathematical peculiarity considered by Georg Cantor as the Fifth Law of Thought. This axiom along with other logical operations must be innate to the organization of the brain. The Google-type ranking process appears nowadays as an indispensable tool for efficient realization of all kinds of searching. The book gives the most comprehensive overview of the current understanding of this situation.
This book is for very serious mathematicians only. It is highly technical in nature, filled with complex formulas. Difficult to move through
yet the 'short summaries' that (sp)Amazon brings up when listing this book as a recommendation or offering to let you review it lists the *male* SECOND author as the SOLE author. Typical. Still this is progress. Twenty years ago the first author would have been lucky to get an acknowledgment with patronizing praise of her *typing* skills. Why so Few indeed.Great book, Amy -- good work. Shame about the Amazon listing.
You need a degree in math to comprehend this book - if that is what you are looking for great. If not this book is not for web professionals like myself.
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