On Arnoldi method accelerating PageRank computations

Authors:
Guo-Jian Yin;Jun-Feng Yin
Affiliations:
Department of Mathematics, Tongji University, Shanghai, P.R. China;Department of Mathematics, Tongji University, Shanghai, P.R. China
Venue:
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Year:
2010

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Abstract

PageRank is a very important ranking algorithm in web information retrieval or search engine. We present Power method with Arnoldi acceleration for the computation of Pagerank vector, which can take the advantage of both Power method and Arnoldi process. The description and implementation of the new algorithm are discussed in detail. Numerical results illustrate that our new method is efficient and faster than the existing counterparts.