DeepRecSys Course

This is a course on Deep Learning-based Recommender Systems taught at HSE University, academic year 2025/26.

Syllabus

1. Introduction to Recommender Systems
2. ML Design of Recommender Systems
3. Two-Tower Models I
4. Two-Tower Models II
5. Ranking Models I
6. Ranking Models II
7. Sequential Recommenders
8. Graph Neural Networks
9. Ads Ranking at Yandex
10. Reinforcement Learning
11. Reinforcement Learning II
12. Generative Recommendations
13. Sber AI Lab RecSys Papers Review

Contributors

• Kirill Khrylchenko
• Artem Matveev
• Vladimir Baikalov
• Sergei Makeev
• Alexandr Andreev
• Margarita Mishustina
• Alexey Vasilev

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This work by Kirill Khrylchenko is licensed under a Creative Commons Attribution 4.0 International License.