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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