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Optimizing return on investment using artificial intelligence: A recommendation system-based solution
The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that involves state of the art deep learning and reinforcement learning techniques.
Faculty Supervisor:
Nizar Bouguila
Student:
Fatma Najar
Partner:
Vidéotron
Discipline:
Engineering
Sector:
Information and cultural industries
University:
Concordia University
Program:
Accelerate
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