Personalized PageRank with node-dependent restart

K.E. Avrachenkov, R.W. Hofstad, van der, M. Sokol

Onderzoeksoutput: Boek/rapportRapportAcademic

5 Citaten (Scopus)
74 Downloads (Pure)

Samenvatting

Personalized PageRank is an algorithm to classify the importance of web pages on a user-dependent basis. We introduce two generalizations of Personalized PageRank with node-dependent restart. The first generalization is based on the proportion of visits to nodes before the restart, whereas the second generalization is based on the probability of visited node just before the restart. In the original case of constant restart probability, the two measures coincide. We discuss interesting particular cases of restart probabilities and restart distributions. We show that the both generalizations of Personalized PageRank have an elegant expression connecting the so-called direct and reverse Personalized PageRanks that yield a symmetry property of these Personalized PageRanks.
Originele taal-2Engels
Plaats van productieEindhoven
UitgeverijEurandom
Aantal pagina's9
StatusGepubliceerd - 2014

Publicatie series

NaamReport Eurandom
Volume2014012
ISSN van geprinte versie1389-2355

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