A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges
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...
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| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2023
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| الموضوعات: | |
| 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 |
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