Recommender systems find patterns in user behaviour to improve personalized experiences and understand the environment that they are acting in. They are ubiquitous and are most often used to recommend items to users (for example, books and movies on Amazon and Netflix, relevant documentation in large software projects, or papers of interest to scientists).
The workshop on recommender systems will be held in English. This workshop includes theoretical sessions in the morning and hands-on sessions in the afternoon.
- Train industry professionals and students in the fields of data science, machine learning and operational research;
- develop a better understanding of the challenges and problems in data science applied to a specific field;
- learn to use software tools to solve practical industry-related problems;
- offer a networking opportunity between students and professionals from industry;
- facilitate knowledge transfer between academia and industry.
The workshop will be held on the campus of the Université de Montréal.
- Recommender systems basics.
- Deep learning for recommender systems.
- An industry perspective I. Causal inferences.
- An industry perspective II. Bandits.
The program will be available early 2019.
- Laurent Charlin, Université de Montréal
- Brian Moore, IVADO
The workshop is open to
- IVADO members (on invitation only);
- Selected university students (contest will be open early 2019)
Registration will be open early 2019.
For additional questions or inquiries, please contact firstname.lastname@example.org.