fix(recommendation): artist-level arms take one track per related artist in turn (#5297)
The similar_artists and coplay_artists arms ordered by artist score, so the closest related artist's catalogue filled the whole LIMIT. On the operator's library the 30-row similar_artists arm held exactly one artist for all 17 seeds measured (#3879), though each seed had 7-33 similar artists in the library. Both arms now rank tracks within each artist and take every artist's first track, best artist first, before anyone's second. Both also skip missing tracks: the outer select already dropped them, but only after they had taken places in the arm's LIMIT. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
@@ -828,13 +828,23 @@ lb_similar AS (
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LIMIT $5
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),
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similar_artists AS (
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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 = 'listenbrainz'
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AND t.id NOT IN (SELECT id FROM excluded_ids)
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ORDER BY asim.score DESC, md5(t.id::text || $12::text)
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-- Round-robin across the similar artists (#5297): each artist's first
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-- track, best-scoring artist first, then each one's second, and so on.
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-- Ordering by artist score alone let the closest similar artist's
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-- catalogue fill the whole LIMIT; on the operator's library this arm held
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-- exactly one artist for all 17 seeds measured (#3879).
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SELECT track_id, sim_score
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FROM (
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SELECT t.id AS track_id, asim.score * 0.5 AS sim_score, asim.score AS artist_score,
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row_number() OVER (PARTITION BY asim.artist_b_id
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ORDER BY md5(t.id::text || $12::text)) AS artist_turn
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FROM artist_similarity asim
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JOIN tracks t ON t.artist_id = asim.artist_b_id AND t.missing_since IS NULL
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JOIN seed_artist sa ON asim.artist_a_id = sa.artist_id
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WHERE asim.source = 'listenbrainz'
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AND t.id NOT IN (SELECT id FROM excluded_ids)
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) ranked
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ORDER BY artist_turn, artist_score DESC, md5(track_id::text || $12::text)
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LIMIT $6
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),
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tag_overlap AS (
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@@ -882,14 +892,20 @@ coplay_artists AS (
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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, md5(t.id::text || $12::text)
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-- Round-robin across artists for the same reason as similar_artists.
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SELECT track_id, sim_score
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FROM (
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SELECT t.id AS track_id, asim.score * 0.5 AS sim_score, asim.score AS artist_score,
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row_number() OVER (PARTITION BY asim.artist_b_id
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ORDER BY md5(t.id::text || $12::text)) AS artist_turn
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FROM artist_similarity asim
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JOIN tracks t ON t.artist_id = asim.artist_b_id AND t.missing_since IS NULL
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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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) ranked
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ORDER BY artist_turn, artist_score DESC, md5(track_id::text || $12::text)
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LIMIT $11
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),
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random_fill AS (
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@@ -96,13 +96,23 @@ lb_similar AS (
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LIMIT $5
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),
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similar_artists AS (
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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 = 'listenbrainz'
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AND t.id NOT IN (SELECT id FROM excluded_ids)
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ORDER BY asim.score DESC, md5(t.id::text || $12::text)
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-- Round-robin across the similar artists (#5297): each artist's first
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-- track, best-scoring artist first, then each one's second, and so on.
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-- Ordering by artist score alone let the closest similar artist's
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-- catalogue fill the whole LIMIT; on the operator's library this arm held
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-- exactly one artist for all 17 seeds measured (#3879).
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SELECT track_id, sim_score
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FROM (
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SELECT t.id AS track_id, asim.score * 0.5 AS sim_score, asim.score AS artist_score,
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row_number() OVER (PARTITION BY asim.artist_b_id
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ORDER BY md5(t.id::text || $12::text)) AS artist_turn
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FROM artist_similarity asim
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JOIN tracks t ON t.artist_id = asim.artist_b_id AND t.missing_since IS NULL
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JOIN seed_artist sa ON asim.artist_a_id = sa.artist_id
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WHERE asim.source = 'listenbrainz'
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AND t.id NOT IN (SELECT id FROM excluded_ids)
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) ranked
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ORDER BY artist_turn, artist_score DESC, md5(track_id::text || $12::text)
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LIMIT $6
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),
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tag_overlap AS (
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@@ -150,14 +160,20 @@ coplay_artists AS (
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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, md5(t.id::text || $12::text)
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-- Round-robin across artists for the same reason as similar_artists.
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SELECT track_id, sim_score
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FROM (
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SELECT t.id AS track_id, asim.score * 0.5 AS sim_score, asim.score AS artist_score,
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row_number() OVER (PARTITION BY asim.artist_b_id
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ORDER BY md5(t.id::text || $12::text)) AS artist_turn
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FROM artist_similarity asim
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JOIN tracks t ON t.artist_id = asim.artist_b_id AND t.missing_since IS NULL
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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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) ranked
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ORDER BY artist_turn, artist_score DESC, md5(track_id::text || $12::text)
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LIMIT $11
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),
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random_fill AS (
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@@ -429,3 +429,69 @@ func TestLoadCandidatesFromSimilarity_DifferentSeedsCanDrawDifferently(t *testin
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"varying with the seed at all", len(seen))
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}
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}
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// #5297: an artist-level arm takes a track from each related artist before a
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// second from any. Ordered by artist score alone, the closest artist's
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// catalogue filled the whole LIMIT; on the operator's library the
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// similar_artists arm held one artist for every seed measured (#3879).
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func TestLoadCandidatesFromSimilarity_ArtistArmsRoundRobin(t *testing.T) {
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for _, source := range []string{"listenbrainz", "user_cooccurrence"} {
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t.Run(source, func(t *testing.T) {
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f := newFixture(t, 1)
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ctx := context.Background()
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seed := f.tracks[0]
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artistOf := map[[16]byte]string{}
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for i, score := range []float64{0.9, 0.8, 0.7} {
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name := fmt.Sprintf("Related %d", i)
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ar, err := f.q.UpsertArtist(ctx, dbq.UpsertArtistParams{Name: name, SortName: name})
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if err != nil {
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t.Fatal(err)
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}
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al, err := f.q.UpsertAlbum(ctx, dbq.UpsertAlbumParams{Title: name, SortTitle: name, ArtistID: ar.ID})
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if err != nil {
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t.Fatal(err)
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}
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// More tracks per artist than the arm's limit, so the closest
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// artist alone could fill it.
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for j := 0; j < 5; j++ {
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tr, err := f.q.UpsertTrack(ctx, dbq.UpsertTrackParams{
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Title: fmt.Sprintf("%s #%d", name, j), AlbumID: al.ID, ArtistID: ar.ID,
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FilePath: fmt.Sprintf("/tmp/related-%d-%d.flac", i, j), DurationMs: 180_000,
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})
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if err != nil {
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t.Fatal(err)
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}
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artistOf[tr.ID.Bytes] = name
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}
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if _, err := f.pool.Exec(ctx,
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`INSERT INTO artist_similarity (artist_a_id, artist_b_id, score, source) VALUES ($1, $2, $3, $4)`,
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seed.ArtistID, ar.ID, score, source); err != nil {
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t.Fatal(err)
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}
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}
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limits := CandidateSourceLimits{}
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if source == "listenbrainz" {
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limits.SimilarArtist = 3
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} else {
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limits.UserCoplay = 3
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}
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got, err := LoadCandidatesFromSimilarity(
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ctx, f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, limits, "test-seed",
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)
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if err != nil {
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t.Fatalf("load: %v", err)
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}
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artists := map[string]int{}
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for _, c := range got {
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if name, ok := artistOf[c.Track.ID.Bytes]; ok {
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artists[name]++
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}
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}
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if len(got) != 3 || len(artists) != 3 {
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t.Errorf("arm of 3 drew %d candidates from %d related artists (%v), want one from each of 3",
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len(got), len(artists), artists)
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}
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})
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}
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}
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