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What are best practices for Hybrid Recommendation Approaches

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When working with Hybrid Recommendation Approaches, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example An online store uses a hybrid approach that combines what similar customers bought with the specific features of products a customer has viewed.

Common follow-ups: What is Recommendation Systems, How is Hybrid Recommendation Approaches evaluated in practice, What tools are commonly used for Hybrid Recommendation Approaches