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» Learning to rank on graphs
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WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 4 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
COMBINATORICA
2010
14 years 4 months ago
Every rayless graph has an unfriendly partition
We prove that every rayless graph has an unfriendly partition.
Henning Bruhn, Reinhard Diestel, Agelos Georgakopo...
SIGIR
2006
ACM
15 years 3 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
ECIR
2011
Springer
14 years 1 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
4OR
2005
71views more  4OR 2005»
14 years 9 months ago
On rank-perfect subclasses of near-bipartite graphs
Shepherd (1995) proved that the stable set polytopes of near-bipartite graphs are given by constraints associated with the complete join of antiwebs only. For antiwebs, the facet s...
Annegret Wagler