论文标题
“赢家是……”：多组公平意识的动态彩票建议
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
论文作者
论文摘要
由于推荐系统的设计和部署是针对越来越多的社会影响应用程序的，因此考虑到这些系统所展示的公平性能是什么。关于推荐公平性，已经进行了大量研究。但是，我们认为以前的文献是基于简单，统一且通常是单维假设的概念，这些假设不认识公平意识的应用的现实复杂性。在本文中，我们明确表示设计决策，这些决策在多元定义和相交的受保护群体之间进入准确性和公平性之间的权衡，支持多个公平度量指标。该框架还允许建议者根据在时间范围内提供的建议的历史观点来调整其性能，并在公平关注点之间动态平衡。在此框架内，我们制定了基于彩票的机制，用于在公平关注点之间进行选择，并在两个建议域中展示其性能。
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.
