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Details for Learning to Rank using Gradient Descent
PropertyValue
NameLearning to Rank using Gradient Descent
Description"We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these ideas using a neural network to model the underlying ranking function. We present test results on toy data and on data from a commercial internet search engine."
FilenameICML_ranking.pdf
Filesize169.78 kB
Filetypepdf (Mime Type: application/pdf)
Creatordojoadmin
Created On: 02/06/2009 23:54
ViewersEverybody
Maintained byEditor
Hits449 Hits
Last updated on 02/06/2009 23:54
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