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:

Julien Allard

Partner:

UEAT

Discipline:

Computer science

Sector:

University:

Université de Montréal

Program:

Accelerate

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