000			01968nam a2200181Ia 4500
008			140520s9999||||xx |||||||||||||| ||und||
020			_a9780691152660
082			_a005.74 _bLan/Mey
100			_aLangville, Amy N.
245			_aGoogle's Pagerank And Beyond : The Science Of Search Engine Rankings
260			_aNew Jersey _bPrinceton University Press _c2006
300			_ax;224p. _b7.5x10.5 _chb
520			_aWhy 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. * Many illustrative examples and entertaining asides * MATLAB code * Accessible and informal style * Complete and self-contained section for mathematics review
546			_aENG
650			_aGoogle
650			_a Internet
942			_cBK
999			_c72326 _d72326