I ended up with a solution that works and does not use machine learning yet, it really is just a bit of data-wrangling, some refinement of Spotify’s recommendations through similarity metrics, and a sprinkle of randomness. create an overall listening experience based on mutually liked music, not just providing a wild mixture of individual tastes.limit the number of songs by one artist.include new songs based on these favorites.include some of our all-time favorites as well as songs we both enjoyed recently.The objective was not to try out new machine learning algorithms if the problem didn’t require it. I first thought to use machine learning and other more elaborate methods, but then I reminded myself that I had a problem that required a working solution. So I decided to create a playlist myself, but not manually as I wanted weekly updates. However, I liked the idea and thought that there must be a way to create the playlist we both wished for. We were not satisfied and didn’t really listen to the weekly updates within the playlist anymore. It also jumped between styles pretty hard, going from a chilled jazzy song into techno, rap, or metalcore (okay, that might be a little on me as well…). The artists were “correct” but the songs were not, the playlist hardly featured the songs we both actually listened to.

We started listening to it, but it somehow felt a little off. My girlfriend and I were eager to see what this playlist was all about.

This playlist is supposed to be for both users and combine their music tastes. Spotify offers a Duo Subscription which comes with a unique playlist called Duo Mix.

How to share playlists on spotify duo