internal/db/dbq/recommendation.sql.go

@@ -873,7 +873,12 @@ tag_overlap AS (
       AND t.id <> $2
     GROUP BY t.id
     HAVING count(DISTINCT trim(g_split.g)) > 0
-    ORDER BY sim_score DESC
+    -- md5 breaks the ties (#3880). A seed with one tag gives every track of
+    -- that genre the same score, 7,804 tracks on the operator's library, and
+    -- with no tie-break the LIMIT took whichever rows Postgres reached first:
+    -- the same slice for every seed of the genre, and not one the order seed
+    -- controls.
+    ORDER BY sim_score DESC, md5(t.id::text || $12::text)
     LIMIT $7
 ),
 likes_overlap AS (
@@ -891,14 +896,25 @@ likes_overlap AS (
     LIMIT $8
 ),
 taste_overlap AS (
-    SELECT t.id AS track_id, 0.0::float8 AS sim_score
+    -- Round-robin across the taste artists (#3880), as similar_artists is
-    FROM taste_profile_artists tpa
+    -- (#5297): each artist's first track, strongest artist first, then each
-    JOIN tracks t ON t.artist_id = tpa.artist_id
+    -- one's second. Ordered by weight then track id, the strongest artist's
-    WHERE tpa.user_id = $1
+    -- catalogue filled the whole arm with the same lowest-id tracks every
-      AND tpa.weight > 0
+    -- time; on the operator's library that was 20 tracks of one artist of
-      AND t.id NOT IN (SELECT id FROM excluded_ids)
+    -- 174, whose catalogue is 197 tracks.
-      AND t.id <> $2
+    SELECT track_id, sim_score
-    ORDER BY tpa.weight DESC, t.id
+    FROM (
+        SELECT t.id AS track_id, 0.0::float8 AS sim_score, tpa.weight,
+               row_number() OVER (PARTITION BY tpa.artist_id
+                                  ORDER BY md5(t.id::text || $12::text)) AS artist_turn
+        FROM taste_profile_artists tpa
+        JOIN tracks t ON t.artist_id = tpa.artist_id AND t.missing_since IS NULL
+        WHERE tpa.user_id = $1
+          AND tpa.weight > 0
+          AND t.id NOT IN (SELECT id FROM excluded_ids)
+          AND t.id <> $2
+    ) ranked
+    ORDER BY artist_turn, weight DESC, md5(track_id::text || $12::text)
     LIMIT $10
 ),
 coplay_artists AS (

internal/db/queries/recommendation.sql

@@ -138,7 +138,12 @@ tag_overlap AS (
       AND t.id <> $2
     GROUP BY t.id
     HAVING count(DISTINCT trim(g_split.g)) > 0
-    ORDER BY sim_score DESC
+    -- md5 breaks the ties (#3880). A seed with one tag gives every track of
+    -- that genre the same score, 7,804 tracks on the operator's library, and
+    -- with no tie-break the LIMIT took whichever rows Postgres reached first:
+    -- the same slice for every seed of the genre, and not one the order seed
+    -- controls.
+    ORDER BY sim_score DESC, md5(t.id::text || $12::text)
     LIMIT $7
 ),
 likes_overlap AS (
@@ -156,14 +161,25 @@ likes_overlap AS (
     LIMIT $8
 ),
 taste_overlap AS (
-    SELECT t.id AS track_id, 0.0::float8 AS sim_score
+    -- Round-robin across the taste artists (#3880), as similar_artists is
-    FROM taste_profile_artists tpa
+    -- (#5297): each artist's first track, strongest artist first, then each
-    JOIN tracks t ON t.artist_id = tpa.artist_id
+    -- one's second. Ordered by weight then track id, the strongest artist's
-    WHERE tpa.user_id = $1
+    -- catalogue filled the whole arm with the same lowest-id tracks every
-      AND tpa.weight > 0
+    -- time; on the operator's library that was 20 tracks of one artist of
-      AND t.id NOT IN (SELECT id FROM excluded_ids)
+    -- 174, whose catalogue is 197 tracks.
-      AND t.id <> $2
+    SELECT track_id, sim_score
-    ORDER BY tpa.weight DESC, t.id
+    FROM (
+        SELECT t.id AS track_id, 0.0::float8 AS sim_score, tpa.weight,
+               row_number() OVER (PARTITION BY tpa.artist_id
+                                  ORDER BY md5(t.id::text || $12::text)) AS artist_turn
+        FROM taste_profile_artists tpa
+        JOIN tracks t ON t.artist_id = tpa.artist_id AND t.missing_since IS NULL
+        WHERE tpa.user_id = $1
+          AND tpa.weight > 0
+          AND t.id NOT IN (SELECT id FROM excluded_ids)
+          AND t.id <> $2
+    ) ranked
+    ORDER BY artist_turn, weight DESC, md5(track_id::text || $12::text)
     LIMIT $10
 ),
 coplay_artists AS (

internal/recommendation/candidates_v2_test.go

@@ -3,6 +3,7 @@ package recommendation
 import (
 	"context"
 	"fmt"
+	"maps"
 	"reflect"
 	"sort"
 	"strings"
@@ -497,3 +498,90 @@ func TestLoadCandidatesFromSimilarity_ArtistArmsRoundRobin(t *testing.T) {
 		})
 	}
 }
+
+// The taste arm takes one track from each taste artist before a second from
+// any (#3880). Ordered by weight then track id, the strongest artist's
+// catalogue filled the arm: 20 tracks of one artist on the operator's library.
+func TestLoadCandidatesFromSimilarity_TasteArmRoundRobinsAcrossArtists(t *testing.T) {
+	f := newFixture(t, 1)
+	ctx := context.Background()
+	seed := f.tracks[0]
+	artistOf := map[[16]byte]string{}
+	for i, weight := range []float64{9, 8, 7} {
+		name := fmt.Sprintf("Taste %d", i)
+		ar, err := f.q.UpsertArtist(ctx, dbq.UpsertArtistParams{Name: name, SortName: name})
+		if err != nil {
+			t.Fatal(err)
+		}
+		al, err := f.q.UpsertAlbum(ctx, dbq.UpsertAlbumParams{Title: name, SortTitle: name, ArtistID: ar.ID})
+		if err != nil {
+			t.Fatal(err)
+		}
+		// More tracks per artist than the arm's limit.
+		for j := 0; j < 5; j++ {
+			tr, err := f.q.UpsertTrack(ctx, dbq.UpsertTrackParams{
+				Title: fmt.Sprintf("%s #%d", name, j), AlbumID: al.ID, ArtistID: ar.ID,
+				FilePath: fmt.Sprintf("/tmp/taste-%d-%d.flac", i, j), DurationMs: 180_000,
+			})
+			if err != nil {
+				t.Fatal(err)
+			}
+			artistOf[tr.ID.Bytes] = name
+		}
+		if _, err := f.pool.Exec(ctx,
+			`INSERT INTO taste_profile_artists (user_id, artist_id, weight) VALUES ($1, $2, $3)`,
+			f.user, ar.ID, weight); err != nil {
+			t.Fatal(err)
+		}
+	}
+	got, err := LoadCandidatesFromSimilarity(
+		ctx, f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, CandidateSourceLimits{TasteOverlap: 3}, "test-seed",
+	)
+	if err != nil {
+		t.Fatalf("load: %v", err)
+	}
+	artists := map[string]int{}
+	for _, c := range got {
+		if name, ok := artistOf[c.Track.ID.Bytes]; ok {
+			artists[name]++
+		}
+	}
+	if len(got) != 3 || len(artists) != 3 {
+		t.Errorf("taste arm of 3 drew %d candidates from %d artists (%v), want one from each of 3",
+			len(got), len(artists), artists)
+	}
+}
+
+// Tracks tied on tag overlap are taken in the order seed's order (#3880): the
+// same seed takes the same slice, another seed another. With no tie-break a
+// one-tag seed's LIMIT took whichever rows Postgres reached first.
+func TestLoadCandidatesFromSimilarity_TagTiesFollowTheOrderSeed(t *testing.T) {
+	f := newFixture(t, 21)
+	ctx := context.Background()
+	for _, tr := range f.tracks {
+		helperSetTrackGenre(t, f, tr.ID, "Rock")
+	}
+	pick := func(orderSeed string) map[[16]byte]bool {
+		got, err := LoadCandidatesFromSimilarity(
+			ctx, f.q, f.user, f.tracks[0].ID, 1, SessionVector{Seed: true}, nil, CandidateSourceLimits{TagOverlap: 5}, orderSeed,
+		)
+		if err != nil {
+			t.Fatalf("load: %v", err)
+		}
+		out := map[[16]byte]bool{}
+		for _, c := range got {
+			out[c.Track.ID.Bytes] = true
+		}
+		return out
+	}
+	a, again, b := pick("day-a"), pick("day-a"), pick("day-b")
+	if len(a) != 5 {
+		t.Fatalf("tag arm of 5 drew %d", len(a))
+	}
+	if !maps.Equal(a, again) {
+		t.Error("the same order seed took a different slice of tied tracks")
+	}
+	if maps.Equal(a, b) {
+		t.Error("two order seeds took the same slice of 20 tied tracks: the ties are not following the seed")
+	}
+}

internal/recommendation/library_scale.go

@@ -34,9 +34,21 @@ const (
 	//
 	// ASSUMED, NOT MEASURED. The size the v1 constants were actually tuned
 	// against is unrecorded; 5,000 is a plausible mid-size library and a
-	// deliberately conservative place to start growing. #3879 should replace
+	// deliberately conservative place to start growing. This constant is the
-	// this with the real number, and until it does, this constant is the
 	// single thing to change.
+	//
+	// Measured on the operator's library, 26,005 tracks (scale 2.28), for the
+	// 15 most-played seeds and two Moe Shop tracks (#3880, 2026-10-21):
+	//   lb_similar       0–6 edges (3 of 17 seeds have any): never reaches
+	//                    even the base limit, so scaling it costs nothing
+	//   similar_artists  860–6,307 tracks over 7–33 artists: always full
+	//   tag_overlap      4,658–19,658 tracks: always full
+	//   likes_overlap    193–497 liked tracks sharing a tag: always full
+	//   taste_overlap    20,045 tracks over 174 artists: always full
+	//   coplay           0 rows: a single-user server
+	// So the arms the scale grows all have far more rows than it asks for, and
+	// the tuned-against size cannot be recovered from data; the number stays
+	// until a library shows a scaled arm running dry or a pool too slow.
 	libraryScaleReference = 5000
 
 	// maxLibraryScale bounds growth so a very large library does not turn