Basic Recommender Systems

Learn the foundations of recommendation technologies through this practical online course. You will explore how recommender systems help platforms suggest products, movies, music, and other content based on user preferences and behaviour. The course introduces core recommendation techniques, including collaborative filtering, content-based methods, and basic machine learning approaches used to personalise user experiences across digital services.  

What you will learn: 

• Fundamentals of recommender systems and personalised recommendations.  
• How collaborative filtering techniques generate recommendations.  
• Content-based recommendation methods and user preference modelling.  
• Basic machine learning concepts used in recommendation engines.  
• Methods for evaluating recommendation accuracy and performance.  
• Challenges related to scalability, data quality, and recommendation effectiveness.  
• Real-world applications of recommender systems in digital platforms.  

Follow the ‘go to course’ and sign up!