#listenbrainz

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      • monkey[m]
        <goldenshimmer[m]> "That’s kind of you to offer, but..." <- Having looked at it closer, there's no identifying data at all if I omit the user_id column so shouldn't be an issue.
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      • monkey[m]
        Here's a sample of what mine looks like (the data column specifically, a JSONB column that is replaced every Monday when we recalculate unlinked listens):
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      • monkey[m]
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      • zedisnotdead
        sup, just doing a small rubberneck
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      • zedisnotdead
        would there be any possibility of implementing something akin to Reccobeats (https://reccobeats.com/)/Spotify's deprecated recommendation API?
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      • zedisnotdead
        I figured I'd ask here because I was just about to roll my own... with the massive 100+GB dataset
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      • devianteng[m]
        Made a little tool, thought I'd share. It bridges listenbrainz `curated-for` playlists with Lidarr and Plex. Will take the `Weekly Exploration` history, generate a json list of artist MBIDs which Lidarr can monitor via `Import List` and add new artists. Will also create `Weekly Jams`, `Daily Jams` (if enabled), and `Weekly Exploration` playlists in Plex.
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      • devianteng[m]
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      • monkey[m]
        zedisnotdead (IRC): That link isn't working for me, but if you are looking fro a recommendation endpoint the closest we currently have is https://labs.api.listenbrainz.org/similar-recordi… for tracks (using MusicBrainz recording MBIDs) and https://labs.api.listenbrainz.org/similar-artists (using artist MBIDs)
      • 2025-08-14 22645, 2025

      • monkey[m]
        Both are usable as API endpoints.
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      • monkey[m]
        Although I see the similar artist endpoint requires you know the magic algorithm string...
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      • monkey[m]
        You can copy the values in the other endpoint's dropdown, but I'm making a note of this