* Michael Berry, Murray Browne, Understanding Search Engines: Mathematical Modeling and Text Retrieval. Second Edition, SIAM, Philadelphia. 2005. * Sergey Brin, Lawrence Page, The antaomy of a large-scale hypertextual Web search...
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* Michael Berry, Murray Browne, Understanding Search Engines: Mathematical Modeling and Text Retrieval. Second Edition, SIAM, Philadelphia. 2005. * Sergey Brin, Lawrence Page, The antaomy of a large-scale hypertextual Web search engine, Computer Networks and ISDN Systems, 33: 107-17, 1998. Also available online at http://infolab.stanford.edu/pub/papers/google.pdf * Kurt Bryan, Tanya Leise, The $25,000,000,000 eigenvector. The linear algebra behind Google. SIAM Review, 48 (3), 569-81. 2006. Also avaiable at http://www.rose-hulman.edu/~bryan/google.html * Google Corporate Information: Technology. * Taher Haveliwala, Sepandar Kamvar, The second eigenvalue of the Google matrix. * Amy Langville, Carl Meyer, Google's PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press, 2006. This is an informative, accessible book, written in an engaging style. Besides providing the relevant mathematical background and details of PageRank and its implementation (as well as Kleinberg's HITS algorithm), this book contains many interesting "Asides" that give trivia illuminating the context of search engine design.
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