YIM2022Playlists
ListenBrainz Year in Music 2022: Playlists
The MetaBrainz team values transparency and we lament that many online services lack transparency around the many services they provide.
As ListenBrainz starts to generate more computer generated playlists we're dedicated to providing detailed documentation along with the playlists and recommendations. While all of this transparency infrastructure isn't quite finished yet, we're documenting ListenBrainz Year in Music playlists here on MusicBrainz.
Top Discoveries
This playlist contains your top most listened tracks that you first started listening to in 2022.
To create this playlist we took your listening history for 2022 and found the top most listened tracks and then filtered out any tracks that you didn't first listen to in 2022. Up to 50 of these tracks have been presented in this playlist. Please keep in mind that if you listened to a track before you started recording your listening history with ListenBrainz, we can't know about it, so there is a distinct chance that such a track might end up in this list.
This playlist is a "comfortable" retrospective playlist that should not contain any surprises and should not require a lot of attention to listen to. Go revel in the best of 2022!
If you wish to inspect that code that creates this playlist, take a look at top-discoveries-for-year.py in our Troi recommendation toolkit, top_discoveries.py in our data set hosting toolkit and top_discoveries.py in ListenBrainz.
Top Missed
This playlist is generated by the taking the top tracks of the three most similar users to yourself and then removing all the tracks that you listened to in 2022. This is a discovery playlist that aims to introduce you to new music that other similar users enjoyed this year. It may require more active listening and may contain tracks that are not to your taste.
Your three most similar users that contributed to these playlists are listed in your playlist description, including links to their accounts so that you may explore their music tastes in more detail.
If you wish to inspect that code that creates this playlist, take a look at top-discoveries-for-year.py in our Troi recommendation toolkit, recording.py and top_discoveries.py in ListenBrainz.
