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| Risk | Impact | Mitigation | |------|--------|------------| | – recommendation quality degrades as catalogue expands. | User dissatisfaction, lower engagement. | Schedule weekly model retraining; monitor NDCG in production. | | Copyright compliance – auto‑mix may include tracks not cleared for streaming. | Legal exposure. | Use only tracks flagged as “stream‑ready” in the catalogue; add a validation step before mix assembly. | | High compute cost – AI inference could be expensive at scale. | Increased OPEX. | Deploy model on GPU‑optimized nodes only when load > 5 k req/min; otherwise use CPU fallback with caching. | | Latency spikes during peak traffic. | Poor UX. | Autoscale containers + Redis cache for duplicate configs; pre‑warm popular mixes (e.g., “Party – 60 min”). |

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Is this an SEO project aimed at driving traffic through or entertainment news?