ability for users to adjust the AI recommendation algorithm

[mpiras-it]

At the moment, recommendations are generated automatically, but it would be very useful to give users some control over how those recommendations are shaped. For example, users could choose whether they want suggested tracks to be based more on their listening history, favorite genres, mood, recently played songs, discovery of new artists, or similarity to a specific track or playlist.

At the moment, recommendations are generated automatically, but they are often not accurate enough. For example, when selecting “Go to Radio” from a specific song, the tracks in the generated radio often seem to match mainly the song’s release period or year, rather than its actual sound, style, mood, or genre. This can make the listening experience feel less relevant and less personalized than expected.

It would be very useful to give users more control over how recommendations are generated. For example, users could choose whether suggested tracks should be based more on sonic similarity, genre, mood, favorite artists, listening history, recently played songs, or music discovery