A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges

• المؤلفون الرئيسيون: LIANG, Jian, KE, Jintao, WANG, Hai, YE, Hongbo, TANG, Jinjun
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: Poisson-based distribution prediction; On-demand food delivery services; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/8459; https://ink.library.smu.edu.sg/context/sis_research/article/9462/viewcontent/Poisson_Based_DLF_2023_av.pdf

The COVID-19 pandemic has caused a dramatic change in the demand composition of restaurants and, at the same time, catalyzed on-demand food delivery (OFD) services—such as DoorDash, Grubhub, and Uber Eats—to a large extent. With massive amounts of data on customers, drivers, and merchants, OFD platf...