> It's not that the algo is any worse than human recommendations, it's just that it's an average of all humans likes, which will never fit your exact personal u

> It's not that the algo is any worse than human recommendations, it's just that it's an average of all humans likes, which will never fit your exact personal unique preferences because they aren't you. Isn't that the definition of "worse"? "Never able to be tailored to your unique preferences" when a human could take that feedback in a single sentence and adjust? It's like the old "everyone wants to remake Excel since they realize 80% of users only use 20% of it... without realizing it's always a different 20%" saw... I believe that you certainly could figure out a smarter approach, with enough careful thought, domain knowledge, and effort but... I haven't used any services that do it. Surface level similarities seems to be all you get, and I constantly get recommendations that a human would've stopped giving me years ago. Maybe the domain of expert-level statisticians and experts-at-musical-knowledge-of-many-genres just don't overlap that much? It's hard to imagine you could do it truly well without content-level processing, not just user histories and connection graphs. Just because no streaming service could afford a human to be an expert on every single user doesn't mean that the cheaper, more scalable algorithm isn't worse.