Courses
COMP4135 Recommender Systems and Applications (3 units)
- Prerequisite:
- COMP3057 Introduction to Artificial Intelligence and Machine Learning or COMP3115 Exploratory Data Analysis and Visualization or Year 3 standing or above
- Medium of Instruction:
- English
In the current age of information overload, recommender systems offer personalized access for users to efficiently search information and make choices online. This course introduces recommender systems’ major concepts, methodologies, evaluation design, and user experiences. A variety of real-world applications are included, such as those deployed in e-commerce sites and social networks.