| Available via | http://dbpubs.stanford.edu/pub/2003-35 |
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Submitted on |
20th of June 2003 |
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Author |
Haveliwala, Taher; Kamvar, Sepandar, Jeh, Glen |
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Title |
An Analytical Comparison of Approaches to Personalizing PageRank |
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Date of publication |
20th of June 2003 |
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Citation |
Haveliwala, Taher; Kamvar, Sepandar, Jeh, Glen. An Analytical Comparison of Approaches to Personalizing PageRank, |
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Number of pages |
4 |
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Language |
English |
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Project |
Stanford InfoLab; Database Group; Natural Language Processing Group |
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Type |
Technical Report |
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Subject group |
Databases and the Web |
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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. |
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| Management of the document by | siroker@db.stanford.edu
| |