Basic Recommender Systems

The Basic Recommender Systems course introduces you to the leading approaches in recommender systems. The techniques described touch both collaborative and content-based approaches and include the most important algorithms used to provide recommendations. You'll learn how they work, how to use and how to evaluate them, pointing out benefits and limits of different recommender system alternatives. After completing this course, you'll be able to describe the requirements and objectives of recomm

• Build a basic recommender system
• Choose the recommender system type fitting data, goals, and needs
• Identify proper evaluation techniques to measure recommender quality
• Describe benefits and limitations of various recommender methods

• Basic understanding of algorithms
• Fundamental machine learning concepts