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...
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).