65dd132b3d
Milestone #160 Opt 3 (temporal half). A new additive scoring term that boosts a candidate when its artist's play history concentrates in the CURRENT daypart × weekday-type cell, in the user's local timezone. - Migration 0046: recommendation_weight_profiles.context_time_weight (per-profile scoring weight, DEFAULT 1.0). - Query ListArtistContextPlayCountsForUser: per-artist completed-play counts split by the current cell (daypart night[22,5)/morning[5,12)/ afternoon[12,17)/evening[17,22) × weekday-vs-weekend) via started_at AT TIME ZONE users.timezone; 365-day window, skips excluded. - internal/recommendation/context.go: LoadContextAffinity computes each artist's shrunk cell-share minus the user's baseline share, clamped to [-1,1]; sparse artists shrink toward baseline (pseudo-count 5), unknown artists → 0 (cold-start neutral). - Score() gains context_affinity_score · ContextTimeWeight; both candidate loaders set it per candidate. - Tuning lab: ContextTimeWeight threaded through recsettings + admin API + web card ("Time-of-day weight" row) + Go/web tests. Shipped 1.0 both profiles (uniform start, re-bakeable). Device-class axis deferred to #1551 (needs a client_id → device-class mapping that doesn't exist yet). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
66 lines
2.2 KiB
SQL
66 lines
2.2 KiB
SQL
-- Recommendation tuning lab queries (#1250). Seeding happens via the
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-- recsettings boot reconcile; shipped defaults live in Go only.
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-- name: UpsertWeightProfileDefaults :exec
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-- Boot reconcile: insert the shipped defaults for a profile if the row
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-- doesn't exist yet. Never overwrites operator-tuned values.
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INSERT INTO recommendation_weight_profiles (
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profile, base_weight, like_boost, recency_weight, skip_penalty,
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jitter_magnitude, context_weight, similarity_weight, taste_weight,
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context_time_weight
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
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ON CONFLICT (profile) DO NOTHING;
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-- name: ListWeightProfiles :many
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SELECT * FROM recommendation_weight_profiles ORDER BY profile;
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-- name: UpdateWeightProfile :one
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UPDATE recommendation_weight_profiles
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SET base_weight = $2,
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like_boost = $3,
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recency_weight = $4,
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skip_penalty = $5,
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jitter_magnitude = $6,
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context_weight = $7,
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similarity_weight = $8,
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taste_weight = $9,
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context_time_weight = $10,
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updated_at = now()
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WHERE profile = $1
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RETURNING *;
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-- name: UpsertTasteTuningDefaults :exec
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INSERT INTO taste_tuning (
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singleton, half_life_days, engagement_hard_skip,
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engagement_neutral, engagement_full, enriched_tag_scale, era_scale
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) VALUES (true, $1, $2, $3, $4, $5, $6)
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ON CONFLICT (singleton) DO NOTHING;
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-- name: GetTasteTuning :one
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SELECT * FROM taste_tuning WHERE singleton = true;
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-- name: UpdateTasteTuning :one
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UPDATE taste_tuning
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SET half_life_days = $1,
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engagement_hard_skip = $2,
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engagement_neutral = $3,
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engagement_full = $4,
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enriched_tag_scale = $5,
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era_scale = $6,
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updated_at = now()
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WHERE singleton = true
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RETURNING *;
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-- name: InsertTuningAudit :exec
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-- changes is a jsonb array of {field, old, new} objects.
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INSERT INTO recommendation_tuning_audit (scope, action, changes)
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VALUES ($1, $2, $3);
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-- name: ListTuningAudit :many
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-- Newest first; consumed by the metrics trend view (#1251) to annotate
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-- knob turns on the timeline.
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SELECT id, changed_at, scope, action, changes
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FROM recommendation_tuning_audit
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ORDER BY changed_at DESC, id DESC
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LIMIT $1;
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