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The 2016 paper "Deep Neural Networks for YouTube Recommendations" outlines a two-stage architecture using candidate generation to narrow down content and a deep learning-based ranking system. The model focuses on predicting expected watch time to prioritize quality, utilizing both implicit and explicit user feedback. Read the full paper at research.google.com . Deep Neural Networks for YouTube Recommendations