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FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning t...
FOLD-TR is a customized FOLD-R++ algorithm with ranking framework, that aims to rank new items following the ranking pattern in the training data. -
LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH...
The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines.