研究人员开发了EXHOLD，一个用于优化叫车匹配系统的新型两阶段框架。该系统旨在通过智能地延迟某些司机-订单配对来改善乘客和司机的体验。该框架首先根据聚合的满意度信号评估配对，然后确定最佳保持时间表，以在遵守服务保障措施的前提下最大化整体体验。EXHOLD已成功部署在滴滴在巴西的生产系统中，在行程完成率、司机收入和乘客取消率降低方面取得了显著的改进。 AI
影响 该框架有望为大型服务行业匹配算法的优化设定新标准，提高效率和用户满意度。
排序理由 该集群描述了一篇详细介绍新框架及其在生产系统中部署的研究论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.09090v1 Announce Type: new Abstract: In large-scale ride-hailing, hold control is a critical mechanism for improving passenger-driver experience. By selectively delaying certain driver-order pairs, the system waits for better opportunities, reduces cancellations, and m…
In large-scale ride-hailing, hold control is a critical mechanism for improving passenger-driver experience. By selectively delaying certain driver-order pairs, the system waits for better opportunities, reduces cancellations, and mitigates wasted driver effort. However, existing…