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Weighting training examples by watch time rather than just clicks, which revolutionized how "viral" or relevant videos are identified. You can read the full text at Google Research . 2. Deep Video Compression/Analysis

Narrowing down millions of videos (like your .mp4 file) to a few hundred based on user history. _-4969924009768.mp4

Researchers often track these on the Deep Learning Paper Reading Table on GitHub. Weighting training examples by watch time rather than

If the filename is from a specific dataset (like Kinetics-700 or UCF101), "deep paper" likely refers to research on or Action Recognition . These papers focus on using neural networks to "understand" or compress video files efficiently. These papers focus on using neural networks to

This seminal paper (Covington et al., 2016) is the foundation of how large-scale video platforms handle ranking and retrieval. It describes a two-stage system: