Course objective is to provide comprehensive introduction to the field of Recommender Systems.
- first part of the course is dedicated to general RecSys approaches
- second part briefly covers multi-armed bandits and counterfactual evaluation
To join this course contact https://t.me/alexey_grishanov.
| Lecture | Date | Description | Materials | Video |
|---|---|---|---|---|
| 1 | February, 18 | Introduction (A. Grishanov) |
TBA | TBA |
| 2 | February, 25 | Neighborhood-Based models (A. Grishanov) |
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| 3 | March, 4 | Matrix Factorization models (A. Volodkevich) |
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| 4 | March, 11 | Content-based and Hybrid systems (A. Volodkevich) |
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| 5 | March, 18 | Two-level models (A. Grishanov) |
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| 6 | March, 25 | Neural recommenders (A. Volodkevich) |
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| 7 | April, 1 | Multi-armed bandits (A. Grishanov) |
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| 8 | April, 8 | Counterfactual evaluation (A. Grishanov) |
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| 9 | April, 17 | TBA |
| Homework | Date | Deadline | Description | Link |
|---|---|---|---|---|
| 1 | March, 11 | March, 25 | practical | |
| 2 | April, 8 | April, 22 | theoretical |
