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Bibliography [1] M.W. Berry and M. Browne, Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition, SIAM, Philidelphia, 2005. [2] M. Bianchini, M. Gori, and F. Scarselli, “Inside PageRank,” ACM Trans. Internet Tech., 5 (2005). [3] K. Bryan and T. Leise, “The $25,000,000,000 Eigenvector: The Linear Algebra Behind Google,” SIAM Review, 48 (2006). [4] S. Kamvar, T. Haveliwala, and G. D. Meyer, “Adaptive methods for the computation of PageRank,” Linear Algebra Appl., 386 (2004). [5] L. Page, S. Brin, R. Motwani, and T. Winograd, “The PageRank citation ranking: Bringing order to the Web,” Technical Report. Stanford InfoLab, (1999). 5PDF Image | Google PageRank algorithm powered by linear algebra
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