I’ve been learning recommender systems/collaborative filtering and I would like to know if there are any ways to improve model performance?
I understand that some approaches are
- Weight decay (reduce overfitting)
- Generate + introduce synthetic data (good but may introduce bias)
I’m currently digging through the fastai internals to see if something could be manipulated.
Any ideas/thoughts would be greatly appreciated !