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The proposed research will enable customers to see personalized recommendations based on multiple factors such as their order history, their preferences and contextual information such as the meteo and the day of the week. The main expected benefit is to increase the average bill by showing personalized recommendation
Yoshua Bengio
Julien Allard
UEAT
Computer science
Université de Montréal
Accelerate
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