Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning.

@inproceedings{ge-2022-toward, author = {Yingqiang Ge and Xiaoting Zhao and Lucia Yu and Saurabh Paul and Diane Hu and Chu-Cheng Hsieh and Yongfeng Zhang}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {316--324}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498487}, doi = {https://doi.org/10.1145/3488560.3498487} }