Recommendation Evaluation SDK
An SDK for measuring the quality of recommendation systems in a repeatable way — client work at IWConnect.
- Category
- AI & RAG
- Tech stack
- Evals
- Role
- Prototype — design & build
Content
A prototype SDK for measuring recommendation quality in a repeatable way, so a change to the recommender can be compared against the previous version instead of judged by eye. It explores what a minimal, honest eval harness for recommenders looks like.
Problem
Recommendation quality is hard to measure consistently; without repeatable evals, changes cannot be compared.
Limitations
Prototype-stage: metric coverage was scoped to the recommenders it was built alongside.
Next steps
A production version would need a broader metric suite and CI integration so every change runs the evals.
Outcome
Working prototype used to compare recommender variants during my recommendation work; deliberately kept at prototype stage.