To get feedback at scale you could, on the relay side, make predictions of what Engagement is expected on each note (like, zap, comment) and tweak the algo based on what actually happens on the note. Compare actual vs predicted and rerun your recommendations. Is that what you are doing?
Discussion
No that would take way too much compute for every single user I think, more than my $6 VM can handle lol
Don’t you have to be making some kind of prediction of what you think the user will want inorder to send user specific content? They liked this before I think they will like this thing which is similar to it?