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Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.

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RecSys course

The course on recommender systems conducted in National Research University - Higher School of Economics (Moscow, Russia). Academic year 2023/2024.

Useful Links

  • Wiki page of this course
  • Table with grades
  • The code materials for each seminars can be found in the corresponding folders /seminar*.
  • To download any folder please use this link.
  • Recordings of lectures and seminars (coming soon).
  • All questions can be asked in the Telegram chat (the invitation link is available only to students)

The most important section

The final grade is calculated as follows:

0.3 * Home Assignment + 0.15 * Article Summary + 0.25 * Quizzes + 0.3 * Exam

where Home Assignments - 2 home assignments in Jupyter Notebook (max 10 points). Article Summary - a report on a research paper on Recommender Systems with your critical analysis (max 10 points). Quizzes - 15 weekly quizzes on lecture's and seminars' topics in Google Forms (max 10 points). Exam - oral examination on all topics (max 10 points).

Course outline

  1. Introduction to recommender systems
  2. Similarity (neighborhood) based and linear approaches
  3. Matrix & tensor factorization
  4. Collaborative filtering
  5. Context-aware and content models
  6. Hybrid approaches
  7. Sequential models for next-item recommendations
  8. Next-basket recommendations
  9. LLM in recommender systems
  10. Autoencoders and variational autoencoders for recommendations
  11. Multi-task & cross-domain recommendations
  12. Graph and knowledge-graph based models
  13. Interpretability and explainability
  14. RL for recommender systems
  15. A/B testing and multi-armed bandites. Model monitoring
  16. Vanilla API service for recommender system

Contributors

License

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

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Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.

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