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 | [email protected] | GitHub โข dijana-z | LinkedIn โข in/dijana-zulfikaric
- Stefan Pantic | [email protected] | GitHub โข stefanpantic | LinkedIn โข in/stefan-pantic