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The first book about the science of Web page rankings, Google's PageRank and Beyond is accessible to both the curious science reader and the technical computational reader, with each chapter containing something for both audiences. Amy Langville and Carl Meyer include entertaining asides about such topics as how search engines make money and how the Great Firewall of China influences research. The book contains several MATLAB codes, links to sample Web dam sets, and an extensive background chapter designed to help general readers learn more about the mathematics of search engines.
Throughout the book, readers are encouraged to experiment with the ideas and algorithms presented. 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.