@kweiand

An Analytical Comparison of Approaches to Personalizing PageRank

, , and . Technical Report, 2003-35. Stanford InfoLab, (June 2003)

Abstract

PageRank, the popular link-analysis algorithm for ranking web pages, assigns a query and user independent estimate of importance to web pages. Query and user sensitive extensions of PageRank, which use a basis set of biased PageRank vectors, have been proposed in order to personalize the ranking function in a tractable way. We analytically compare three recent approaches to personalizing PageRank and discuss the tradeoffs of each one.

Links and resources

Tags

community

  • @jaeschke
  • @kweiand
@kweiand's tags highlighted