Implementing Incremental Training and Feedback loop using Lightfm

[abadugu13]

I have successfully trained a lightfm model based on user features, item features and interactions. Now I want to incrementally train the model to cover two aspects:

1. Addition of new items/users and their interactions
2. Update model based on user feedback(preferably both positive and negative) of the provided recommendations

For the first case, I can see the fit_partial function in the Dataset and Model which seem to be the way, but I'm not sure.
For the second case, I couldn't find anything in the documentation, so I am not sure how to proceed.
Any directions would be appreciated