Ning will discuss which use cases have the real need of personalization and the reasons of that. Then I will go into details of one or two examples on model architecture, training strategy and performance measurement.
- Make sure your non-personalized models work first
- Staged training can facilitate debugging
- Embeddings trained with user behaviours often perform better than explicit labels