Recommender Systems

The course is aimed at introducing various methods for recommender systems, including their theoretical foundations and application use-cases. An important part of the course is devoted to evaluation of recommendation techniques, development of user models and personalization.

The main modules of the course are the following:

Knowledge-based recommendation
User feedback based on ranking and rating
Model-based techniques
Neighborhood-based techniques
Content-based techniques
Hybrid models
Evaluation of recommender systems
Context-aware recommendation
Group recommendation
Social models