This is pretty much it. There’s no need for arbitrary tastemakers now. What’s good can emerge from what similar listeners happen to like right now. It takes even less effort for users as well and probably gives better results.
This is pretty much it. There’s no need for arbitrary tastemakers now. What’s good can emerge from what similar listeners happen to like right now. It takes even less effort for users as well and probably gives better results.
It will surface bands with <20k listeners and songs with <1k plays out from nowhere tailored to exactly what makes the brain go burr.
For small sample sizes Pandora is still king.
I had to spend three weeks clicking the "Don't like this" button on EVERY song in my discover weekly before the algorithm figured out "hey, maybe this guy from rural america doesn't actually like songs that are exclusively japanese meme songs"
Like everything in ML, Spotify recommendation works great if you have average or unspecial tastes, because it's just regurgitating the average of your cohort back at you.