this post was submitted on 23 Jun 2023
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Asklemmy
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While probably computationally too expensive, I would like some system where up/downvoting isn't about objective quality, but only about personal preference. Essentially the system would "cluster" up/downvote behavior from users like youtube clusters like/dislike of videos and then recommend posts which people who like the same content as you like and people who dislike content you like dislike. I am not sure how many clusters/dimensions you would need though and I guess individualized sorting would quickly become computationally prohibitive as you would have to do a scalar multiplication of the post-dimensions with the user-dimensions for each post and then sort the stuff.
That's an interesting idea, though I'm wary of the risk of funneling users into echo chambers. Just think of YouTube around 2016 when every gaming video led you down a rabbit hole of Gamergate to Ben Shapiro and ultimately raw white supremacy.