Perron vector optimization applied to search engines

In the last years, Googleʼs PageRank optimization problems have been extensively studied. In that case, the ranking is given by the invariant measure of a stochastic matrix. In this paper, we consider the more general situation in which the ranking is determined by the Perron eigenvector of a nonneg...

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Veröffentlicht in:	Applied numerical mathematics Jg. 75; S. 77 - 99
1. Verfasser:	Fercoq, Olivier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2014
Schlagworte:	Algorithms Invariants Mathematical analysis Optimization Perron–Frobenius theory Ranking Scalable algorithms Search engines Stochasticity Strategy Search engines Scalable algorithms Optimization Perron–Frobenius theory
ISSN:	0168-9274, 1873-5460
Online-Zugang:	Volltext
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