HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
2. Huawei Noah's Ark Lab, Shenzhen, China
3. Huawei Noah's Ark Lab, Shanghai, China
Funder
``New Generation of AI 2030' Major Project
National Natural Science Foundation of China
Shanghai Municipal Science and Technology Major Project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3648317
Reference43 articles.
1. 2020. MindSpore. https://www.mindspore.cn/.
2. Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. arXiv preprint arXiv:1901.07555 (2019).
3. Reinforcement Learning based Recommender Systems: A Survey
4. Learning a Deep Listwise Context Model for Ranking Refinement
5. Eitan Altman. 1999. Constrained Markov decision processes. Vol. 7. CRC press.
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