❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course, Recommender Systems: Behind the Screen, is designed to explore and learn the best methods and practices in recommender systems, which are an essential component of the online ecosystem. Developed by IVADO and HEC Montréal as part of a workshop in Montreal, the course is accompanied by seven international experts from both Academia and Industry. Recommender systems are algorithms that find patterns in user behaviour to improve personalized experiences and understand their environment. They are used to recommend items to users, such as books, movies, friends, food recipes, relevant documentation in large software projects, or papers of interest to scientists. The content of this MOOC is an introduction to the field of recommender systems. It includes machine learning for recommender systems, an introduction to evaluation methods, advanced modelling, contextual bandits, ranking methods, and fairness and discrimination in recommender systems. The course is primarily intended for industry professionals and academics with basic (first-year undergraduate) knowledge in mathematics and programming (ideally Python). Graduate students in science and engineering (mainly those who are not yet familiar with machine learning and recommender systems) may also find this content instructive and compelling. The content of this course will also be of great use to anyone who uses or is interested in AI. It is estimated that it takes 6 weeks to follow this class. The course is divided into relevant segments that can be watched at one's own pace. There are comprehensive quizzes at the end of each segment to evaluate understanding of the content. Participants will also practice recommender systems algorithms thanks to a tutorial guided by an expert. Additionally, a second self-practice module will be offered to those who register for the course with the Verified Certificate. IVADO, HEC Montréal and Université de Montréal invite you to join this special learning journey of Recommender Systems: Behind the Screen! IVADO is a Québec-wide collaborative institute in the field of digital intelligence. HEC Montréal is a French-language university offering internationally renowned management education and research. Université de Montréal is one of the world’s leading research universities.