Skip to Main content Skip to Navigation
Reports

Personalized PageRank with Node-dependent Restart

Abstract : Personalized PageRank is an algorithm to classify the improtance 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.
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/hal-01052482
Contributor : Konstantin Avrachenkov <>
Submitted on : Saturday, July 26, 2014 - 6:34:57 PM
Last modification on : Thursday, September 24, 2020 - 10:22:03 AM
Long-term archiving on: : Tuesday, November 25, 2014 - 6:58:17 PM

Files

RR-8570.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01052482, version 1
  • ARXIV : 1408.0719

Collections

Citation

Konstantin Avrachenkov, Remco van der Hofstad, Marina Sokol. Personalized PageRank with Node-dependent Restart. [Research Report] RR-8570, Inria. 2014, pp.12. ⟨hal-01052482⟩

Share

Metrics

Record views

319

Files downloads

344