title: An Analytical Comparison of Approaches to Personalizing PageRank
creator: Haveliwala, Taher
creator: Kamvar, Sepandar
creator: Jeh, Glen
subject: Databases and the Web
description: 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.
publisher: Stanford
date: 2003-06-20
type: Techreport
type: NonPeerReviewed
format: application/pdf
identifier: http://ilpubs.stanford.edu:8090/596/1/2003-35.pdf
identifier: Haveliwala, Taher and Kamvar, Sepandar and Jeh, Glen (2003) An Analytical Comparison of Approaches to Personalizing PageRank. Technical Report. Stanford.
relation: http://ilpubs.stanford.edu:8090/596/