Recommendation Evaluation SDK
An SDK for measuring the quality of recommendation systems in a repeatable way.
The problem
Recommendation quality is hard to measure consistently; without repeatable evals, changes cannot be compared.
My role
Prototype — design & build
Recommendation Evaluation SDK
An SDK for measuring recommendation quality in a repeatable way, built alongside the product recommendation engine, so a change to the recommender can be compared against the previous version instead of judged by eye. It explores what a minimal, honest evaluation harness for recommenders looks like.
Key decisions
Repeatable over comprehensive. A small set of metrics that run the same way every time beats a broad suite nobody re-runs.
This is the part of the recommendation work I'd defend first, and the habit carried straight into the fixed evaluation suite that guards Alex OS on this site today.
Outcome
Working prototype used to compare recommender variants during the recommendation work; deliberately kept at prototype stage.
Limitations
Prototype-stage: metric coverage was scoped to the recommenders it was built alongside.
Stack
Next
A production version would need a broader metric suite and CI integration so every change runs the evals.