Movies Recommendation with Hierarchical Poisson Factorization in Edward
In this article, we will explore an implementation on the Hierarchical Factorization (HPF) model in Edward. This implementation will use the movilens 2k dataset to learn latent features that try to capture the preferences and attributes of users and movies respectively. The code is avalaible on github.