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Review a paper on deep neural networks for YouTube recommendations in this 23-minute video. Explore the architecture and techniques used by YouTube to create personalized video recommendations at scale. Gain insights into the challenges of building a recommendation system for a platform with billions of videos and users. Learn about the two-stage approach involving candidate generation and ranking, and understand how deep neural networks are applied to improve recommendation quality and user engagement.
