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the spotify recommender algorithm sucks. also, i often find i'm very unfamiliar with very well-known pieces of music. so i decided to do something weird. i used LMs to scrape several best songs lists from different online sources, merged them into one gigantic list, and used spotipy to create a spotify playlist of all of those random songs. whenever anyone recommends me a song, i also throw it into this giant playlist. then, when i want to explore new songs, i just put this playlist on. i have another script that automatically removes any songs i've put into my liked songs already, and i also manually remove songs i really don't like. this system has helped me discover dozens of new songs that i like.
sure. disclaimer that this playlist is unapologetically tailored for my own use (eg i also added entire albums of artists i like, without regard for whether those albums have broad appeal):
I've been dealing with the same issues in pandora....i just can't believe in the era of AI, it's algorithm plays a related artist just because they're female as well. Or an 90's song that sounds totally different but since it was on the radio in the same era, it plays it for me as a similar artist. I'd assume These apps have so much data they could find me every song that exists that i'd LIKELY enjoy.