799dab029a0f164c92dd3947384ee570c0efaf95
5
Commits
| Author | SHA1 | Message | Date | |
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  bvandeusenandClaude Opus 5
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799dab029a |
feat(discover): rank suggestions by taste-tag overlap — #2377 (server)
The payoff slice. Until now a candidate's only claim on a slot was "some
artist you play is adjacent to it in a similarity graph" — a fact that says
nothing about whether the music sounds like anything you like. Now the
candidate's own folksonomy tags (cached by slice 5) are compared against
the user's taste-profile tags, so the deck ranks on taste and can say WHY.
The blend is MULTIPLICATIVE — score × (1 + weight × overlap) — and that
choice carries the whole safety argument:
- An untagged candidate has overlap 0, so its score is EXACTLY unchanged.
Tag coverage is permanently partial (#2376); it must cost a candidate
nothing, not sink it (rule #131).
- Nothing can leapfrog on tags alone. An additive term with a large
weight would let a near-zero-similarity artist outrank a strong match
for sharing one popular tag, which reads as noise.
- Weight 0 restores pure similarity order bit-for-bit, so the operator's
knob has a real off position.
overlap = Σ(shared) candWeight × normalizedTasteWeight ÷ Σ(all) candWeight.
Normalizing the taste side by the user's strongest tag makes the score
comparable across users (taste weights accumulate with listening, so a
heavy listener's raw numbers dwarf a new user's while meaning the same
thing). Dividing by the candidate's own mass makes it comparable across
candidates, so a densely-tagged artist can't win on tag count alone.
Applied to the whole over-fetched pool BEFORE selectSuggestions, so the
rotation and diversity rules operate on blended scores — boosting only the
twelve already chosen by similarity would leave the re-ranking undone.
A query failure is returned, NOT degraded past. Graceful degradation is
for expected absence (no taste profile, no cached tags) and both are
handled explicitly as empty inputs; swallowing a real error would hide a
broken DB behind a subtly worse ranking that nothing reports.
Migration 0051 adds a FOURTH tuning scope rather than columns on
taste_tuning, because snooze_days lives here too and a snooze must never
be read as taste signal (#2374) — filing it under 'taste' would put it one
careless join from the leak that design forbids. Expanding
recommendation_tuning_audit's CHECK is in the same migration per rule #36,
and a test asserts the audit row lands, which is what would catch its
absence.
snooze_days moves out of a Go constant onto the tuning card (rule #25),
closing the deferral from #2374.
Tag-overlap tests use deliberately SKEWED fixtures: an evenly-matching pool
cannot exercise a re-ranking, since every candidate gets the same
multiplier and the order is unchanged whether the blend works or not.
Admin UI + client attribution follow in this batch — rule #27.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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bvandeusenandClaude Opus 4.8
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f0c08e7326 |
feat(taste): mood taste facet — #1534
Milestone #160 Opt 2b (mood half of the era+mood option). A fourth taste facet alongside artists + genre tags + eras: signed weights over canonical mood buckets (melancholic / energetic / chill / …) derived from a track's enriched folksonomy tags (#1490). - internal/mood: shared vocabulary — Of(tags) maps folksonomy tags to canonical mood buckets (synonyms collapse). Imported by both the taste builder and the scorer so a track's mood is derived identically. - Migration 0047: taste_profile_moods table + taste_tuning.mood_scale (DEFAULT 0.5). - Build side (internal/taste): Config.MoodScale ([0,1] damper, mirrors EraScale); accumulate folds each play/like's mood buckets at base*MoodScale; persist atomic-replaces the mood rows. - Scorer (internal/recommendation): TasteProfile gains a mood term (own tanh scale + additive 0.12 share, so it never weakens the existing signal when a track has no mood tags). Match now takes the candidate's mood buckets; loaded per candidate (ListTrackTagsForTracks → mood.Of) in the primary similarity loader only — the near-whole-library fallback pool passes nil (mood → 0) to avoid a full-library tag scan. - Tuning lab: mood_scale threaded through recsettings + admin API + web card ("Mood weight" row) + Go/web tests. Coverage is partial (grows with tag enrichment; richer once Last.fm is keyed), so mood is a supplement — neutral for tracks with no mood tags. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusenandClaude Opus 4.8
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40384cc05e |
feat(taste): era/decade taste facet — #1530
Milestone #160 Opt 2 (era half). A third taste facet alongside artists + genre tags: signed weights over decade buckets ("1990s") derived from albums.release_date, rebuilt daily and scored into the taste match. - Migration 0045: taste_profile_eras table (mirrors taste_profile_tags) + taste_tuning.era_scale column (DEFAULT 0.5). - Build side (internal/taste): Config.EraScale ([0,1] damper, mirrors EnrichedTagScale), accumulate folds each play/like's decade at base*EraScale, persist atomic-replaces the era rows. - Scorer (internal/recommendation): TasteProfile gains an era term (own tanh scale + additive 0.15 share so it never weakens the existing artist/tag signal when a track is undated); candidate queries return album release_date; decadeOf mirrors the builder helper. - Tuning lab: era_scale threaded through recsettings + admin API + web card (auto-renders the new row) + Go/web tests. Mood facet deferred to #1534 (partial enrichment coverage + needs candidate-side enriched-tag loading). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusenandClaude Opus 4.8
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2b3be8311a |
feat(tuning): expose EnrichedTagScale in the tuning lab (#1520)
Promote the enriched-tag weight (#1490) from a taste.Config default into the DB-backed tuning lab so operators can dial how much folksonomy tags count vs raw ID3 genre (rule #25). - Migration 0044: taste_tuning.enriched_tag_scale (DEFAULT 0.5, backfills the existing row). - recsettings: TasteTuning gains the field; seeded/read/updated through reconcile + persistTaste; applyTastePatch validates it to [0,1] (generic non-half-life clamp) and diffTaste audits it; TasteConfig maps it into the profile build. - API: tasteTuningResp exposes enriched_tag_scale. - Web tuning card: a data-driven "Enriched tag weight" knob (0 = genre only). Tests: recsettings persist+range, web fixture field. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusenandClaude Fable 5
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0d0a8f46b1 |
feat(tuning): scoring weights → DB-backed admin tuning lab
The recommendation scoring knobs move out of YAML (radio profile) and out of the systemMixWeights hard-code (daily_mix profile) into DB-backed settings with live effect (#1250) — the defaults-discovery lab per decision #1247: the operator turns knobs to find good values, which then get baked back into shipped defaults; end users and other operators should never need the card. - Migration 0040: recommendation_weight_profiles (radio / daily_mix, 8 weight columns), taste_tuning singleton (engagement half-life + completion-curve points), recommendation_tuning_audit (one row per change with a {field, old, new} diff — the trend view's markers, #1251). - internal/recsettings: boot reconcile seeds shipped defaults without clobbering tuned rows (coverart SettingsService pattern), validates patches (bounds, curve ordering), writes audit rows, and pushes daily_mix weights + taste config into package playlists. No-op patches write no audit row. - playlists gains SetSystemMixWeights / SetTasteConfig swap points under a RWMutex — no signature threading through the producers; the scheduler's taste rebuild reads the pushed config. - Radio reads its weight profile from the service per request; the 8 weight fields leave config.RecommendationConfig (YAML keeps only RecentlyPlayedHours / RadioSize / RadioSizeMax). - Admin API: GET/PATCH/reset under /api/admin/recommendation-tuning, echoing current + shipped values. - Web: new admin Tuning tab — two weight profiles side by side, taste card, per-scope save (changed fields only) + reset, deviation dots against shipped defaults. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TsF3cNoKrqCYsU78cXC8U6 |