Recommender Systems

2026/2027

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Applied Mathematics and Informatics (Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod))

Course type:

Compulsory course

When:

2 year, 2 module

Course Syllabus

Abstract

This course explores content personalization algorithms and methods for building systems that predict user preferences. Key approaches to creating recommender systems are discussed: collaborative filtering, content-based methods, and hybrid models. Particular attention is paid to the practical aspects of developing and evaluating the quality of recommendations, as well as modern approaches based on machine learning.