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Number of Negative samples in video recommendation system

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#1

Hi,

in the Video Recommendation System Design part of the “Machine Learning System Design” course, there is an assumption in the Data size section:
" * For 1 month, we collected 15 billion positive labels and 750 billion negative labels."
my question is how did we drive 750 billion negative labels from the specification?

Thanks

#2

I have the same question. In the assumption, it says that " * On average, a user watches two videos out of 100 video recommendations.". It means 15 billion (2%) out of 750 billon recommendations were viewed. Shouldn’t it be 15 billion positive labels and 735 billion negative labels?