Optimized on-line computation of PageRank algorithm

Details Optimized on-line computation of PageRank algorithm Optimized on-line computation of PageRank algorithm

2012-02-28

arxiv.org/abs/1202.6158v1

Computer Science

Discrete Mathematics

7 pages

Scientific paper

In this paper we present new ideas to accelerate the computation of the eigenvector of the transition matrix associated to the PageRank algorithm. New ideas are based on the decomposition of the matrix-vector product that can be seen as a fluid diffusion model, associated to new algebraic equations. We show through experiments on synthetic data and on real data-sets how much this approach can improve the computation efficiency.

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