Hey I agree with you it looks like it's still not mature enough..

btw it looks like there is no open source code available for robust recommendation systems,

By that I mean, One that can take into account item features and user features, that handles warm start (new users with items) scenarios or cold start scenarios (new users with no items only with their features)

If you guys have anything besides LightFM (not good for new users not present in the training) or Polara Hybrid svd (not maintained anymore) that would be awesome :)