%0 Report
%9 Technical Report
%A Haveliwala, Taher
%A Kamvar, Sepandar
%A Jeh, Glen
%D 2003
%F ilprints:596
%I Stanford InfoLab
%T An Analytical Comparison of Approaches to Personalizing PageRank
%U http://ilpubs.stanford.edu:8090/596/
%X 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.