Optimized on-line computation of PageRank algorithm
نویسنده
چکیده
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 experimentations on synthetic data and on real data-sets how much this approach can improve the computation efficiency.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1202.6158 شماره
صفحات -
تاریخ انتشار 2012