"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
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“获胜者是……”：多组公平意识推荐的动态抽签
DOI：
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Tian Gao
中科院分区：
文献类型：
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作者：
Nasim Sonboli;R. Burke;Nicholas Mattei;Farzad Eskandanian;Tian Gao
随着越来越多的社会应用程序设计和部署推荐系统，考虑这些系统表现出的公平属性变得非常重要。关于推荐公平性的研究相当多。然而，我们认为，以前的文献是基于简单，统一的，通常是一维的公平假设概念，没有认识到现实世界中公平意识应用的复杂性。在本文中，我们明确地表示了在多重定义和交叉保护组之间进入准确性和公平性之间权衡的设计决策，支持多个公平性指标。该框架还允许推荐器根据在一段时间内交付的推荐的历史视图调整其性能，在公平性问题之间动态地进行再平衡。在这个框架内，我们制定了基于彩票的机制来选择公平问题，并展示了它们在两个推荐领域的表现。
As recommender systems are being designed and deployed for an increasing number of socially-consequential applications, it has become important to consider what properties of fairness these systems exhibit. There has been considerable research on recommendation fairness. However, we argue that the previous literature has been based on simple, uniform and often uni-dimensional notions of fairness assumptions that do not recognize the real-world complexities of fairness-aware applications. In this paper, we explicitly represent the design decisions that enter into the trade-off between accuracy and fairness across multiply-defined and intersecting protected groups, supporting multiple fairness metrics. The framework also allows the recommender to adjust its performance based on the historical view of recommendations that have been delivered over a time horizon, dynamically rebalancing between fairness concerns. Within this framework, we formulate lottery-based mechanisms for choosing between fairness concerns, and demonstrate their performance in two recommendation domains.
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DOI：
10.1145/3269206.3271795
发表时间：
2018-10
期刊：
Proceedings of the 27th ACM International Conference on Information and Knowledge Management
影响因子：
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作者：
Ziwei Zhu;Xia Hu;James Caverlee
通讯作者：
Ziwei Zhu;Xia Hu;James Caverlee
反歧视学习：基于因果建模的框架
影响因子：
2.4
作者：
Zhang, Lu;Wu, Xintao
通讯作者：
Wu, Xintao
DOI：
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发表时间：
2018-07
期刊：
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影响因子：
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作者：
Úrsula Hébert-Johnson;Michael P. Kim;Omer Reingold;G. Rothblum
通讯作者：
Úrsula Hébert-Johnson;Michael P. Kim;Omer Reingold;G. Rothblum
通过个性化重新排名实现机会主义多方面公平
DOI：
10.1145/3340631.3394846
发表时间：
2020
期刊：
Adaptation and Personalization (UMAP
影响因子：
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作者：
Sonboli, Nasim;Eskandanian, Farzad;Burke, Robin;Liu, Weiwen;Mobasher, Bamshad
通讯作者：
Mobasher, Bamshad