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What are the steps to design a Generative AI system that determines why a user quits watching a show after 10 minutes and how it can improve future recommendations?

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A short answer key carried over from the source. Not yet a graded rubric.

1. Treat the timestamp as ambiguous; 2. Segment the show at the scene level; 3. Correlate drop-off against scene boundaries; 4. Run multimodal analysis on the scene; 5. Cross-reference comparable scenes elsewhere; 6. Output ranked causes; 7. Feed the specific cause into recommendation weighting.

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