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Regular version of the site

Recommender Systems

2025/2026
Academic Year
ENG
Instruction in English
4
ECTS credits
Delivered at:
Joint Department with MTS
Course type:
Elective course
When:
4 year, 3 module

Instructor


Кузнецов Сергей Юрьевич

Course Syllabus

Abstract

The course trains specialists in designing and deploying modern recommender systems, combining a deep understanding of machine learning algorithms with solving real business problems. Participants will master methods for building personalized recommendations from classical approaches to neural network architectures and production-level deployment. The program emphasizes practical application: working with real-world data, optimizing infrastructure, and interpreting A/B test results.