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