An Empirical Perspective on Learning-to-rank

Author:

Li Fan1ORCID,Chen Wenyu1ORCID,Yang Zhiyou1ORCID,Fu Mingsheng1ORCID,Zhan Yun1ORCID,Qu Hong1ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, China

Publisher

ACM

Reference34 articles.

1. Learning a Deep Listwise Context Model for Ranking Refinement

2. Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks

3. Zeyuan Allen-Zhu , Yuanzhi Li , and Zhao Song . 2019. On the convergence rate of training recurrent neural networks. Advances in neural information processing systems 32 ( 2019 ). Zeyuan Allen-Zhu, Yuanzhi Li, and Zhao Song. 2019. On the convergence rate of training recurrent neural networks. Advances in neural information processing systems 32 (2019).

4. Irwan Bello , Sayali Kulkarni , Sagar Jain , Craig Boutilier , Ed Chi, Elad Eban , Xiyang Luo, Alan Mackey, and Ofer Meshi. 2018 . Seq2slate: Re-ranking and slate optimization with rnns. arXiv preprint arXiv:1810.02019 (2018). Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Chi, Elad Eban, Xiyang Luo, Alan Mackey, and Ofer Meshi. 2018. Seq2slate: Re-ranking and slate optimization with rnns. arXiv preprint arXiv:1810.02019 (2018).

5. Learning to rank using gradient descent

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