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An analytical comparison of approaches to personalizing pagerank (2003)

Abstract

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 analaytically compare three recent approaches to personalizing PageRank and discuss the tradeoffs of each one. 1

Publication details

Download	http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.15.5310
Source	http://www.stanford.edu/~sdkamvar/papers/comparison.ps
Contributors	CiteSeerX
Repository	CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type	text
Language	English
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