An analytical comparison of approaches to personalizing PageRank Export

@misc{citeulike:163525, 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.}, author = {Haveliwala, T. and Kamvar, S. and Jeh, G.}, citeulike-article-id = {163525}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5438}, institution = {Stanford University}, keywords = {pagerank, personalization}, posted-at = {2008-11-04 06:14:31}, priority = {0}, title = {An analytical comparison of approaches to personalizing PageRank}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5438}, year = {2003} }

TY - GEN ID - citeulike:163525 L3 - citeulike-article-id:163525 N2 - 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. TI - An analytical comparison of approaches to personalizing PageRank KW - pagerank KW - personalization AU - Haveliwala, T AU - Kamvar, S AU - Jeh, G PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5438 ER -