NSWI166
Introduction to recommender systems and user preferences
This course covers common working principles of recommender systems, its learning methods, data types, requirements and evaluation as well as some aspects of the practical deployment.
This course covers common working principles of recommender systems, its learning methods, data types, requirements and evaluation as well as some aspects of the practical deployment.
