What are the key steps to designing a GenAI content recommendation engine that explains its recommendations?

1. Understand why explanations are hard. 2. Build the user signal layer. 3. Create a semantic content graph. 4. Match signals to content embeddings. 5. Generate explanations with an LLM. 6. Rank by explanation quality too. 7. Measure what matters.