feat(taste): phase 2a — apply the taste profile via a TasteMatch scoring term (#796)
The profile built in phase 1 now changes what gets surfaced. Adds a TasteMatch term to the weighted-shuffle score so candidates are re-ranked by their fit to the user's learned taste (positive draws toward it; negative reflects passive avoidance; 0 at cold start). - recommendation/score.go: ScoringInputs.TasteMatchScore ([-1,+1]) + ScoringWeights.TasteWeight + the term in Score. - recommendation/taste.go: LoadTasteProfile reads the taste_profile_* tables; TasteProfile.Match blends the candidate's artist weight (0.7) and avg genre-tag weight (0.3), each tanh-squashed by a fixed scale so one outlier artist can't compress the rest. Unknown artist/tags and empty profiles → 0 (neutral). - candidates.go: both candidate loaders set TasteMatchScore per candidate, so every Score caller (system playlists incl. You-might-like, radio) becomes taste-aware automatically. - weights: systemMixWeights.TasteWeight = 1.5 (daily mixes are the primary taste surface); config.RecommendationConfig gains taste_weight (default 1.0, lighter — radio is seed-directed) wired into the radio handler. - tests: pure (Match curve incl. saturation/clamp/empty-neutral, Score term add+subtract) + DB round-trip (seed taste rows → Match positive). All green vs real Postgres; existing playlist/radio tests unaffected (empty profile → zero taste effect). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -98,6 +98,7 @@ type RecommendationConfig struct {
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JitterMagnitude float64 `yaml:"jitter_magnitude"`
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ContextWeight float64 `yaml:"context_weight"`
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SimilarityWeight float64 `yaml:"similarity_weight"`
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TasteWeight float64 `yaml:"taste_weight"`
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RecentlyPlayedHours int `yaml:"recently_played_hours"`
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RadioSize int `yaml:"radio_size"`
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RadioSizeMax int `yaml:"radio_size_max"`
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@@ -119,13 +120,16 @@ func Default() Config {
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SkipMaxDurationPlayedMs: 30000,
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},
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Recommendation: RecommendationConfig{
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BaseWeight: 1.0,
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LikeBoost: 2.0,
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RecencyWeight: 1.0,
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SkipPenalty: 1.0,
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JitterMagnitude: 0.1,
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ContextWeight: 2.0,
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SimilarityWeight: 2.0,
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BaseWeight: 1.0,
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LikeBoost: 2.0,
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RecencyWeight: 1.0,
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SkipPenalty: 1.0,
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JitterMagnitude: 0.1,
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ContextWeight: 2.0,
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SimilarityWeight: 2.0,
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// Radio is seed-directed (the user picked a direction), so taste
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// is a lighter nudge here than in the daily mixes (1.5).
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TasteWeight: 1.0,
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RecentlyPlayedHours: 1,
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RadioSize: 50,
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RadioSizeMax: 200,
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