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LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH PROVABLE CONVERGENCE

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.

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Cite this as

Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang (2024). Dataset: LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH PROVABLE CONVERGENCE. https://doi.org/10.57702/xc61ass6

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Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.48550/arXiv.2202.12183
Author	Zi-Hao Qiu
More Authors	Quanqi Hu Yongjian Zhong Lijun Zhang Tianbao Yang
Homepage	https://libauc.org/