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» Learning to rank on graphs
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JMLR
2010
118views more  JMLR 2010»
14 years 4 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik
IPM
2008
133views more  IPM 2008»
14 years 9 months ago
DistanceRank: An intelligent ranking algorithm for web pages
A fast and efficient page ranking mechanism for web crawling and retrieval remains as a challenging issue. Recently, several link based ranking algorithms like PageRank, HITS and ...
Ali Mohammad Zareh Bidoki, Nasser Yazdani
VALUETOOLS
2006
ACM
166views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Web graph analyzer tool
We present the software tool “Web Graph Analyzer”. This tool is designed to perform a comprehensive analysis of the Web Graph structure. By Web Graph we mean a graph whose ver...
Konstantin Avrachenkov, Danil Nemirovsky, Natalia ...
85
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AAAI
2006
14 years 11 months ago
Improved Bounds for Computing Kemeny Rankings
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One voting rule of particular interest is the Kemeny rule, which minimizes the...
Vincent Conitzer, Andrew J. Davenport, Jayant Kala...
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 3 days ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun