论文标题
Fairfoody：使食品交付的公平性
FairFoody: Bringing in Fairness in Food Delivery
论文作者
论文摘要
随着食品交付平台的快速增长和突出的增长，对这一增长的工作人员的雇用条款也引起了人们的关注。我们对来自印度三个大城市的现实世界食品交付平台得出的数据的分析表明，货币交付代理商赚取了严重的不平等。在本文中，我们提出了代理商之间公平收入分配的问题，同时还确保了及时的食物交付。我们确定该问题不仅是NP - hard，而且在多项式时间内也不适当。我们通过一种称为Fairfoody的新型匹配算法克服了这种计算瓶颈。与基线策略相比，对现实世界中食品交付数据集的广泛实验表明，Fairfoody对公平收入分配的提高了10倍，同时也确保对客户体验的影响最小。
Along with the rapid growth and rise to prominence of food delivery platforms, concerns have also risen about the terms of employment of the gig workers underpinning this growth. Our analysis on data derived from a real-world food delivery platform across three large cities from India show that there is significant inequality in the money delivery agents earn. In this paper, we formulate the problem of fair income distribution among agents while also ensuring timely food delivery. We establish that the problem is not only NP-hard but also inapproximable in polynomial time. We overcome this computational bottleneck through a novel matching algorithm called FairFoody. Extensive experiments over real-world food delivery datasets show FairFoody imparts up to 10 times improvement in equitable income distribution when compared to baseline strategies, while also ensuring minimal impact on customer experience.
