feat(discover): taste-targeted novelty bucket + rebalance toward discovery
The 2-week metrics review found Discover beating the manual baseline on skip rate — which for a discovery surface means it plays it safe. On a single-user server it's effectively dormant + crude-random, and the per-user taste profile (taste_profile_tags, #796) went unused (#1254 gap). Add a fourth Discover candidate bucket, ListTasteUnheardTracksForDiscover: unheard / non-liked / non-quarantined tracks ranked by summed taste-tag weight over tracks.genre (split like the radio tag_overlap arm), md5 tiebreak. Its picks are stamped pick_kind = 'taste_unheard' (migration 0041 widens the CHECK on playlist_tracks + play_events, rule #36). Rebalance the slot allocation 40/30/30 → taste_unheard 35 / dormant 30 / cross_user 20 / random 15, and lead the interleave with taste_unheard so a track shared with another bucket keeps the taste stamp and the targeted-novelty arm stays measurable. Metrics label "Taste-matched" + order entry added to the single server-side pickKindLabels map, so web and Android surface the new breakdown row with no client change. Cold start (empty taste_profile_tags) yields an empty taste bucket that redistributes to the survivors, so Discover still fills. Scribe #1488. Companion review outcomes: Songs-like starvation already fixed (#1255); For You v2 ratified as-is (fresh-injection cost disproven). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -211,3 +211,69 @@ func (q *Queries) ListRandomUnheardTracksForDiscover(ctx context.Context, arg Li
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}
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return items, nil
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}
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const listTasteUnheardTracksForDiscover = `-- name: ListTasteUnheardTracksForDiscover :many
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SELECT t.id, t.album_id, t.artist_id
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FROM tracks t
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JOIN LATERAL regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g_split(g) ON true
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JOIN taste_profile_tags nt ON nt.user_id = $1 AND trim(g_split.g) = nt.tag
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WHERE nt.weight > 0
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AND trim(g_split.g) <> ''
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AND NOT EXISTS (
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SELECT 1 FROM play_events pe
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WHERE pe.user_id = $1
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AND pe.track_id = t.id
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AND pe.was_skipped = false
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)
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AND NOT EXISTS (
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SELECT 1 FROM general_likes gl
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WHERE gl.user_id = $1 AND gl.track_id = t.id
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)
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AND NOT EXISTS (
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SELECT 1 FROM lidarr_quarantine q
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WHERE q.user_id = $1 AND q.track_id = t.id
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)
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GROUP BY t.id, t.album_id, t.artist_id
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ORDER BY SUM(nt.weight) DESC, md5(t.id::text || $2::text)
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LIMIT 120
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`
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type ListTasteUnheardTracksForDiscoverParams struct {
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UserID pgtype.UUID
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Column2 string
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}
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type ListTasteUnheardTracksForDiscoverRow struct {
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ID pgtype.UUID
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AlbumID pgtype.UUID
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ArtistID pgtype.UUID
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}
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// Taste-targeted novelty: unheard tracks whose genres overlap the user's
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// taste-profile tags (taste_profile_tags, #796), ranked by summed tag
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// weight — "new to you, but your vibe" rather than the crude random arm.
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// Genres live inline on tracks.genre as a delimited string, split the
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// same way the radio tag_overlap arm does (regexp_split_to_table on
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// [;,]). Same exclusion filters as the other buckets. Returns nothing
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// when the user has no taste tags yet (cold start), so the caller
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// redistributes its slots to the other buckets. Stamped 'taste_unheard'.
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// $1 = user_id, $2 = date string for md5 tiebreak ordering.
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func (q *Queries) ListTasteUnheardTracksForDiscover(ctx context.Context, arg ListTasteUnheardTracksForDiscoverParams) ([]ListTasteUnheardTracksForDiscoverRow, error) {
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rows, err := q.db.Query(ctx, listTasteUnheardTracksForDiscover, arg.UserID, arg.Column2)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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var items []ListTasteUnheardTracksForDiscoverRow
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for rows.Next() {
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var i ListTasteUnheardTracksForDiscoverRow
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if err := rows.Scan(&i.ID, &i.AlbumID, &i.ArtistID); err != nil {
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return nil, err
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}
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items = append(items, i)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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return items, nil
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}
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