Haveliwala, Taher and Kamvar, Sepandar and Jeh, Glen (2003) An Analytical Comparison of Approaches to Personalizing PageRank. Technical Report. Stanford.
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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.
| Item Type: | Techreport (Technical Report) | |
|---|---|---|
| Subjects: | Computer Science > Databases and the Web | |
| Projects: | Miscellaneous | |
| Related URLs: | Project Homepage, Project Homepage, Project Homepage | http://infolab.stanford.edu/, http://infolab.stanford.edu/, http://www-nlp.stanford.edu/ |
| 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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