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Re:Using Deep Learning at Scale in Twitter’s Timelines by closed on Sunday May 14, 2017 @10:03AM (#14335657)
> We measure a model’s quality in two ways. First, we evaluate the model using a well-defined accuracy metric we compute during model training. This measure tells us how well the model performs its task – specifically, giving engaging Tweets a high score.

Very curious to know what this metric would be. Maybe some combination of likes, retweets, and viewing time? Or maybe including a general liking term (i.e. liking a person's tweet gives a small boost to all their tweets).

Re:Using Deep Learning at Scale in Twitter’s Timelines by eehee on Sunday May 14, 2017 @10:06AM (#14335668)
Anecdotal experience with twitter's timeline suggests it's viewing time - and that they haven't considered that people are just spending more time finding the tweets they're looking for...