feat(taste): household co-play similarity — #1533
Milestone #160 Opt 5. A collaborative candidate arm: tracks by artists co-played across the instance with the seed's artist. Minstrel is a single shared-library, multi-user server (no per-user library ACL — verified: no owner/share/group model), so the "household" is the whole instance's user set; the rule #47 scoping is satisfied by the shared-library boundary. Single-user servers produce no edges. - No migration: source='user_cooccurrence' was pre-whitelisted in the 0009 similarity CHECK from day one. - internal/db/queries/coplay.sql: Delete + Insert artist co-play edges. Score = Jaccard of the two artists' distinct-player sets (controls for globally-popular artists); >= 2 co-players AND Jaccard >= floor kept (the floor also self-limits hub artists). Completed plays, 365d window. - internal/coplay: periodic worker (6h) that atomic-replaces the user_cooccurrence edge set from play_events — pure local SQL, no external calls. Wired in main.go alongside the similarity worker. - LoadRadioCandidatesV2: new coplay_artists arm (source='user_cooccurrence', seed-artist based, 0.5 damp like similar_artists) + $11 limit; CandidateSourceLimits.UserCoplay (default 20, For-You 40). - Integration tests: perfect-overlap Jaccard=1.0 edge + single-user empty-set gate. Device axis and AcousticBrainz (Opt 4) are separately tracked; this closes the milestone-#160 sequential options. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -42,7 +42,9 @@ WHERE t.id <> $2
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-- $10 taste_overlap K (#796 phase 2b — tracks by the user's top
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-- positively-weighted taste-profile artists, so taste-relevant tracks
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-- enter the pool even when the similarity/random arms miss them; scored
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-- in Go via TasteMatch, so sim_score here is 0 pool-inclusion).
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-- in Go via TasteMatch, so sim_score here is 0 pool-inclusion),
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-- $11 coplay_artists K (#1533 — tracks by artists co-played across the
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-- instance with the seed's artist; source='user_cooccurrence').
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-- Returns same shape as LoadRadioCandidates plus similarity_score column.
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WITH
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@@ -126,6 +128,22 @@ taste_overlap AS (
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ORDER BY tpa.weight DESC, t.id
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LIMIT $10
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),
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coplay_artists AS (
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-- Household co-play (#1533): tracks by artists co-played across the
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-- instance with the seed's artist (source='user_cooccurrence', built by
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-- the coplay worker). Mirrors similar_artists but from local co-occurrence
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-- instead of ListenBrainz; empty on single-user servers. Same 0.5 damp as
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-- similar_artists since it's artist-level.
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SELECT t.id AS track_id, asim.score * 0.5 AS sim_score
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FROM artist_similarity asim
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JOIN tracks t ON t.artist_id = asim.artist_b_id
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JOIN seed_artist sa ON asim.artist_a_id = sa.artist_id
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WHERE asim.source = 'user_cooccurrence'
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AND t.id NOT IN (SELECT id FROM excluded_ids)
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AND t.id <> $2
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ORDER BY asim.score DESC, random()
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LIMIT $11
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),
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random_fill AS (
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SELECT t.id AS track_id, 0.0::float8 AS sim_score
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FROM tracks t
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@@ -137,6 +155,7 @@ random_fill AS (
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UNION SELECT track_id FROM tag_overlap
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UNION SELECT track_id FROM likes_overlap
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UNION SELECT track_id FROM taste_overlap
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UNION SELECT track_id FROM coplay_artists
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)
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ORDER BY random()
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LIMIT $9
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@@ -155,6 +174,7 @@ FROM (
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UNION ALL SELECT track_id, sim_score FROM tag_overlap
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UNION ALL SELECT track_id, sim_score FROM likes_overlap
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UNION ALL SELECT track_id, sim_score FROM taste_overlap
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UNION ALL SELECT track_id, sim_score FROM coplay_artists
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UNION ALL SELECT track_id, sim_score FROM random_fill
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) u
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JOIN tracks t ON t.id = u.track_id
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