Details
The system, based on a technique Netflix calls Aesthetic Visual Analysis (AVA), extracts every frame from a title's video, annotates each frame with metadata about visual quality, characters present, and emotional content, and then uses machine learning algorithms — including contextual bandits — to match the best-performing frame to each user in real time. For example, a user who frequently watches romantic content may see a thumbnail featuring a romantic scene from a film, while a comedy fan sees a humorous still from the same title. Netflix's head of machine learning, Tony Jebara, publicly described this system at the O'Reilly AI Conference.
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