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Google’S Page Rank And Beyond at Meripustak

Google’S Page Rank And Beyond by Amy N. Langville, Carl D. Meyer, New Age International (P) Ltd., Publishers

Books from same Author: Amy N. Langville, Carl D. Meyer

Books from same Publisher: New Age International (P) Ltd., Publishers

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  • General Information  
    Author(s)Amy N. Langville, Carl D. Meyer
    PublisherNew Age International (P) Ltd., Publishers
    Edition1
    ISBN9788122431292
    Pages238
    BindingHardback
    LanguageEnglish
    Publish YearJanuary 2010

    Description

    New Age International (P) Ltd., Publishers Google’S Page Rank And Beyond by Amy N. Langville, Carl D. Meyer

    "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 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: The Science of Search Engine Rankings 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. Many illustrative examples and entertaining asides MATLAB code Accessible and informal style Complete and self-contained section for mathematics review. This special low-priced edition is for sale in India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan and Sri Lanka only.



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