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decision Layer
Movie Recommendation Engine
Machine Learning system that converts viewing history into personalized content decisions.
Signal
User ratings, viewing history, and content metadata (genres, actors, directors).
Decision
Predicts user preference for unseen movies using collaborative filtering and content-based logic.
System
Python-based ML pipeline handling data preprocessing, model training, and inference.
Trust
Addresses cold-start problems to ensure recommendations remain relevant even with sparse data.
Engineering Challenges
Balancing exploration (new genres) vs exploitation (known preferences) in the recommendation algorithm.