2023-05-14 UTC
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[schmarty] capjamesg: there have been a ton of approaches to this problem! a common one to start with is similar to the original netflix recommender algorithm. treat the who-follows-whom data as a giant 2D matrix - each user gets a row and each column indicates whether the row user follows that particular column user. similarity measures can find "users like you" and then differences between your vector and theirs can find new people to