RecotemRecommender system for non-experts

A small config file is all you need. No machine-learning expertise required.

Easy to set up

Describe your data and model in one small YAML file. The CLI handles fetching data, picking the best algorithm, training, and serving.

Friendly defaults

Sensible defaults for splitting, evaluation, and hyperparameter tuning. Get from raw interactions to a working /v1/recipes/{name}:recommend endpoint in minutes.

Production-ready

HMAC-signed model artifacts, automatic hot-swap on retrain, and ready-to-use Docker / Kubernetes / cron deployment patterns.