Now that importing listening history is finally here, I am curious. As per title, how do older listens affect recommendation? Once I import extended streaming history, ListenBrainz will be flooded with new (or rather, old) listens of mine. I wonder if that will have any impact on my recommendations. Does ListenBrainz ignore / weigh older listens less? Should I worry that early gibberish listens could ruin recommendations?
I tend to think of my music taste “evolution” as having begun in 2018.5, when I dropped new music and started listening to old stuff. And after that, my music taste begun evolving, kinda. Expanding. But to ignore 2017 and early 2018 might be a tad foolish (2015-2016, however, feels like I was just listening to 3rd party playlists rather than exhibiting any proper music taste, so I tend to disregard it). So I do wonder if I should bother to define a proper boundary, a lower limit to start import from.
And even then, related somewhat to things I’ve said in Definition of Confidence (Fresh Releases) - #5 by Whimsical6, I wonder as well if things I used to enjoy and listen to but no longer do will also have some sort of effect. Especially on Fresh Releases. I mean, a song I remember fondly coming back / resurfacing wouldn’t be much of an issue. A throwback, perhaps. But if an artist I don’t listen to anymore starts popping up again with new releases I don’t care for… more work in filtering what I do care for
Edit: Imported Spotify listens all the way to when I started using ListenBrainz (I’m assuming it won’t dedup, hence the limit. Earlier listens on that specific day probably won’t count, or will count double, depending on how the limit date works). Let us see how that goes