This was a presentation made by us for presenting to 2017 batch of BITS Goa. It uses, for the most part, the linear algera taught in the course MATH F112 (Maths-II) to explain the working of Google’s mechanism of ranking webpages.
Google PageRank is basically an Eigenvalue Problem, in which given a matrix, we have to find the largest eigenvalue for the matrix.
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