Collaborative Filtering


Recommender systems have around for sometime. But in recent times with the boom of retail online trade recommendation systems and the hype around the NetFlix competition has made recommender systems a major topic in data mining. In this course we will learn about different aspects of recommender systems with particular emphasis on its algorithms.

1. Students are able to demonstrate an understanding of concepts of recommender systems.
2. Students are able to implement both primitive (neighbourhood models) and state-of-the-art (latent factor models) algorithms for recommender systems.
3. Students are able to implement advanced projects in this area.

Course Offering