Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier

@inproceedings{Xie2015EdgeWeightedPP,
  title={Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier},
  author={Wenlei Xie and David Bindel and Alan J. Demers and Johannes Gehrke},
  booktitle={KDD},
  year={2015}
}
Personalized PageRank is a standard tool for finding vertices in a graph that are most relevant to a query or user. To personalize PageRank, one adjusts node weights or edge weights that determine teleport probabilities and transition probabilities in a random surfer model. There are many fast methods to approximate PageRank when the node weights are personalized; however, personalization based on edge weights has been an open problem since the dawn of personalized PageRank over a decade ago… CONTINUE READING

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