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Employing information collected from more than 500 million advised videos, study assistants developed more than 44,000 pairs of videos — one “rejected” video, plus a video subsequently advised by YouTube. Researchers then assessed pairs themselves or utilized machine studying to determine whether or not the recommendation was too similar to the video a user rejected. In the report, we deliver some examples of videos that have been advisable just after…Read More