Learn Recotem

Task-focused guides for building real recommendation systems with Recotem. Each guide is self-contained and grounded in a runnable recipe — pick the one that matches the data you already have, or the decision you are trying to make.

Use cases

Build a working recommender from the data you already have.

• Product Recommendations from GA4 + BigQuery — turn Google Analytics 4 events into a live recommendation API.
• Recommendations from Purchase Logs — "customers who bought this" from an e-commerce order history.
• Recommendations from a SQL Database — train directly from PostgreSQL, MySQL, or SQLite.
• Add a Self-Hosted Recommendation API — serve recommendations over HTTP from your own infrastructure.

Compare

Where Recotem fits relative to the alternatives.

• AWS Personalize Alternative — a self-hosted, open-source option.
• Recotem vs LightFM vs implicit — framework vs library for Python recommenders.
• Open-Source Recommendation Systems Compared — Gorse, RecBole, Merlin, and Recotem.

Next steps

• New to Recotem? Start with the Guide.
• Need field-level details? See the Recipe Reference.