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Lecture
Practical Computation of PageRank
Description
This lecture covers the practical computation of PageRank using iterative methods and the challenges of the eigen-vector method. It includes examples of constructing the link matrix from datasets and extracting top nodes. The lecture also discusses the formulation of visiting probabilities for random walkers and the iterative approach for PageRank computation.
Official source
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