The course on recommender systems conducted in National Research University - Higher School of Economics (Moscow, Russia). Academic year 2025/2026.

• The code materials for each practical lesson can be found in the corresponding folders /seminar*.
• To download any folder please use this link.
• Recordings of lectures and seminars.
• All questions can be asked in the Telegram chat (the invitation link is available only to NRU HSE students)

The final grade is calculated as follows:

0.3 * Home Assignment + 0.3 * Quizzes + 0.4 * Exam

where Home Assignments - 5 home assignments in Jupyter Notebook (max 10 points). Quizzes - 20 weekly quizzes on lecture's and seminars' topics in Google Forms (max 10 points). Exam - oral examination (3 questions) (max 10 points).

1. Introduction to recommender systems

• Marina Ananyeva
• Oleg Lashinin
• Denis Krasilnikov
• Mikhail Pechatov
• Alex Milogradskiy

All content created for this course is licensed under the MIT License. The materials are published in the public domain.