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Learning to Rank using Gradient Descent (RankNet), Burges+, ICML'2005 #192

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AkihikoWatanabe opened this issue Jan 1, 2018 · 1 comment

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InformationRetrieval LearningToRank PairWise

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AkihikoWatanabe commented Jan 1, 2018

http://icml.cc/2015/wp-content/uploads/2015/06/icml_ranking.pdf

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AkihikoWatanabe commented Jan 1, 2018 •

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pair-wiseのlearning2rankで代表的なRankNet論文
解説ブログ：https://qiita.com/sz_dr/items/0e50120318527a928407

lossは2個のインスタンスのpair、A, Bが与えられたとき、AがBよりも高くランクされる場合は確率1, AがBよりも低くランクされる場合は確率0、そうでない場合は1/2に近くなるように、スコア関数を学習すれば良い。

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