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Implementing advanced customer labeling techniques in e-commerce recommender systems
The intern will work on a research project aimed at enhancing the shopping experience for customers on Air Liquide Canada’s website by developing a personalized recommendation system. The intern will explore and apply advanced ML techniques to leverage new sources of information such as textual descriptions and user characteristics, which will help better understand customer behavior and preferences. By implementing these improvements, AL expects to have a more engaging shopping experience for its customers.
Faculty Supervisor:
Michel Desmarais
Student:
Partner:
Air Liquide Canada Inc
Discipline:
Computer science
Sector:
Manufacturing; Mining
University:
Polytechnique Montréal
Program:
Accelerate
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