Recommender implementation using Alternating Least Squares method for matrix factorization in Collaborative Filtering. In collaborative filtering matrix factorization is the state-of-the-art solution for sparse data problems, often found when dealing with input data of recommendation systems.
A lecture on the topic can be found here. The research paper can be found here.
- Dijana Zulfikaric | dijana.zulfikaric@gmail.com | GitHub • dijana-z | LinkedIn • in/dijana-zulfikaric
- Stefan Pantic | stefanpantic13@gmail.com | GitHub • stefanpantic | LinkedIn • in/stefan-pantic