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To tackle this problem, the primary objective is to develop a predictive model that can distinguish between viewers who are likely taking a temporary break from watching a TV series and those who have lost interest in the show altogether. This prediction can help streaming services enhance user engagement, tailor recommendations, and improve content retention strategies.
User Interaction Data:
Content Metadata:
User Profile Data:
Temporal and Contextual Data:
Classification Models:
Sequential Models:
Survival Analysis:
By following this structured approach, a streaming service can effectively predict viewer behavior, enhancing user satisfaction and optimizing content delivery strategies.