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Maybe a good time to revive some old collaborative filtering ideas I've had?
https://github.com/stackernews/stacker.news/discussions/2648
These methods allow you to construct similarity scores between posters and and between items, and individually preference rank items by posters.
Doesn't solve the problem of people with no data behind them, but their rankings could be some social aggregate using people with more data.
I get you.
So an example of reputation might be: your zaps/boosts have limited power until your account
total_earned_zaps - total_earned_downzaps > 100k?And that's better because that's not as subjective.