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A comment on Collaborative filtering doesn't work for us. Parent comment

Re:Collaborative filtering doesn't work for us by PaulDavisThe1st on Saturday August 21, 2021 @09:29AM (#28256856)
None of this solves the basic problem of what features in the world you want to put into the model.

Heights of A, B, C? Age? Gender? Educational history? Reading or watching preferences? Handedness? Favorite color? You have absolute no idea which, if any, of the possible characteristics you could use to describe A, B or C, and so you only choices are to be vaguely selective and hope your guess is right, or throw everything you can think at the model and hope that there's still a clear signal. You may still get it wrong.

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Re:Collaborative filtering doesn't work for us by Straw on Saturday August 21, 2021 @09:39AM (#28256933)
These extra features could help it narrow things down more quickly, but CF doesn't need any of this to get good quality- what I described needs _no_ features, only the observation of interactions between users. It tries to find a pattern to explain the successful interactions, by generating a set of features for each user and optimizing it to fit the data.
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