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An Analytical Comparison of Approaches to Personalizing PageRank

Haveliwala, Taher and Kamvar, Sepandar and Jeh, Glen (2003) An Analytical Comparison of Approaches to Personalizing PageRank. Technical Report. Stanford.




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.

Item Type:Techreport (Technical Report)
Subjects:Computer Science > Databases and the Web
Related URLs:Project Homepage, Project Homepage, Project Homepage,,
ID Code:596
Deposited By:Import Account
Deposited On:19 Jun 2003 17:00
Last Modified:24 Dec 2008 10:04

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