This is a course on Deep Learning-based Recommender Systems taught at HSE University, academic year 2025/26.
Jupyter Notebook
106
99 commits
updated Jul 6, 2026
README
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
This work by Kirill Khrylchenko is licensed under a Creative Commons Attribution 4.0 International License.
Contributors
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Jupyter Notebook
83.7%
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This is a course on Deep Learning-based Recommender Systems taught at HSE University, academic year 2025/26.
Jupyter Notebook
106
99 commits
updated Jul 6, 2026
README
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
This work by Kirill Khrylchenko is licensed under a Creative Commons Attribution 4.0 International License.
Similar repos
Contributors
Languages
Jupyter Notebook
83.7%
Python
16.3%