Risk-Sensitive Deep Neural Learning to Rank

Author:

Silva Rodrigues Pedro Henrique1,Xavier Sousa Daniel2,Couto Rosa Thierson3,Gonçalves Marcos André1

Affiliation:

1. Federal University of Minas Gerais - UFMG, Belo Horizonte, Brazil

2. Federal Institute of Goiás - IFG, Anápolis, Brazil

3. Federal University of Goiás - UFG, Goiânia, Brazil

Funder

CAPES

CNPq

FAPEG

FAPEMIG

IFG

Publisher

ACM

Reference34 articles.

1. Qingyao Ai , Keping Bi , Jiafeng Guo , and W. Bruce Croft . 2018. Learning a Deep Listwise Context Model for Ranking Refinement . In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval ( Ann Arbor, MI, USA) (SIGIR '18). Association for Computing Machinery, New York, NY, USA, 135--144. Qingyao Ai, Keping Bi, Jiafeng Guo, and W. Bruce Croft. 2018. Learning a Deep Listwise Context Model for Ranking Refinement. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (Ann Arbor, MI, USA) (SIGIR '18). Association for Computing Machinery, New York, NY, USA, 135--144.

2. Irwan Bello , Sayali Kulkarni , Sagar Jain , Craig Boutilier , Ed Huai-hsin Chi , Elad Eban, Xiyang Luo, Alan Mackey, and Ofer Meshi. 2018 . Seq2Slate: Reranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018), 5 pages. arXiv:1810.02019 Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, and Ofer Meshi. 2018. Seq2Slate: Reranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018), 5 pages. arXiv:1810.02019

3. Bayesian Inferential Risk Evaluation On Multiple IR Systems

4. Mathieu Blondel , Olivier Teboul , Quentin Berthet , and Josip Djolonga . 2020 . Fast Differentiable Sorting and Ranking . In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13--18 July 2020, Virtual Event (Proceedings of Machine Learning Research , Vol. 119). PMLR, 950-- 959 . Mathieu Blondel, Olivier Teboul, Quentin Berthet, and Josip Djolonga. 2020. Fast Differentiable Sorting and Ranking. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13--18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). PMLR, 950--959.

5. An Alternative Cross Entropy Loss for Learning-to-Rank

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