A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation
Author:
Affiliation:
1. McGill University, Quebec, Canada
2. City University of Hong Kong, Kowloon Tong, Hong Kong SAR
3. Microsoft Research, Montreal, Quebec, Canada
4. Google, Montreal, Quebec, Canada
Abstract
Funder
Microsoft Research & MILA (Quebec AI Institute) Collaboration Grant and the Start-up
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Science Applications,General Business, Management and Accounting,Information Systems
Link
https://dl.acm.org/doi/pdf/10.1145/3564285
Reference87 articles.
1. Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2017. Controlling popularity bias in learning-to-rank recommendation. In RecSys. ACM, 42–46.
2. Operating systems: Three easy pieces;Arpaci-Dusseau Remzi H.;Login Usenix Mag.,2017
3. The Economics of Super Managers
4. Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, and Huan Liu. 2020. Privacy-aware recommendation with private-attribute protection using adversarial learning. In WSDM. ACM, 34–42.
5. Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, and Cristos Goodrow. 2019. Fairness in recommendation ranking through pairwise comparisons. In KDD. ACM, 2212–2220.
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Collaborative contrastive learning for hypergraph node classification;Pattern Recognition;2024-02
2. Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines;ACM Transactions on Information Systems;2024-01-23
3. MultiFDF: Multi-Community Clustering for Fairness-Aware Recommendation;IEEE Transactions on Computational Social Systems;2023-12
4. Evolutionary Algorithms for Fair Machine Learning;Handbook of Evolutionary Machine Learning;2023-11-02
5. A review on individual and multistakeholder fairness in tourism recommender systems;Frontiers in Big Data;2023-05-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3