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Cross Domain Recommendation System for the food industry
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
Faculty Supervisor:
Yoshua Bengio
Student:
Partner:
UEAT Technologies Inc
Discipline:
Computer science
Sector:
Information and Communications Technology; Technology
University:
Université de Montréal
Program:
Accelerate
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