As a developer, I want basic safeguards around recommendation quality and stability, so that I can notice if the model or data degrades.
Acceptance criteria:
- Documentation describes common failure modes and how to respond
- Simple sanity checks (e.g., no empty recommendation lists) are in place
- Guidance exists on when to retrain or roll back a model
Metadata
As a developer, I want basic safeguards around recommendation quality and stability, so that I can notice if the model or data degrades.
Acceptance criteria:
Metadata
user story