Personalized PageRank with node-dependent restart

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

Research output: Book/ReportReportAcademic

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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.
Original languageEnglish
Place of PublicationEindhoven
Number of pages9
Publication statusPublished - 2014

Publication series

NameReport Eurandom
ISSN (Print)1389-2355


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