AI RESEARCH
UME: A Unified Meta-Generalization Framework for Cross-Domain ETA
arXiv CS.LG
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ArXi:2606.00979v1 Announce Type: new Accurate Estimated Time of Arrival (ETA) prediction on checkout page is crucial in instant logistics for enhancing user satisfaction, optimizing dispatching, and controlling operational costs. In international on-demand delivery platforms, where ETA data originates from diverse countries or regions with different patterns, multi-domain modeling is of great importance and has been widely adopted. However, existing methods still face three critical challenges in real-world deployment.