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by azernik 2933 days ago
They are likely using those user ratings to build a model of what kind of comments bad users make.
1 comments

Most of the bang for their buck was when they used a plain old sorting of those ratings. That already hid a lot of the sludge. The ML stuff is just a minor optimization compared to that.

Everything is just my opinion, of course, they're probably following a bunch of metrics I don't have access to and which could prove that the ML effort was worth it.