Recommendation Systems

(4 Credits)

This course aims to introduce to the students theoretical and practical knowledge of recommendation systems, including classic and state-of-the-art recommendation algorithms, evaluation metrics, as well as the importance of various user interaction data. During the course, we will discuss the emerging social and technical challenges that modern recommendation systems face. At the end of the semester, students are expected to conduct a final project using the knowledge gained from this course in the form of a written technical report and an in-class oral presentation.