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>
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>
2a re-ranks the existing pool by TasteMatch; this ensures taste-relevant tracks
ARE in the pool. Adds a 6th arm to LoadRadioCandidatesV2: in-library tracks by
the user's top positively-weighted taste-profile artists ($10 K, weight > 0,
deterministic weight-DESC,id order so it doesn't reintroduce same-day
nondeterminism). Pool-inclusion only (sim_score 0) — TasteMatch already scores
the fit. Empty for cold-start users (no profile).
- CandidateSourceLimits.TasteOverlap; default 20 (radio), 80 for For-You via
systemForYouSourceLimits.
- You-might-like deliberately sets TasteOverlap=0: it surfaces NOT-actively-
engaged artists, so flooding its pool with top-taste (mostly already-played)
artists would just feed the read-time dedup.
- Test: positive-weight artist's track enters via the arm; negative-weight one
is excluded (weight > 0). Existing pool tests unaffected (no profile seeded).
Deferred within 2b: profile-seeded For-You — marginal given the arm + TasteMatch
already inject taste broadly (top-played seed ≈ top-taste artist).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
GET /api/artists/{id}/similar — in-library artists ranked by similarity
score (deduped across sources), ArtistRef list with cover + album count.
GET /api/artists/{id}/top-tracks — current user's most-played tracks for
the artist (skips excluded, quarantine filtered).
CI on 8b586c2e caught it: the $1::text cast in the md5 ORDER BY made
sqlc infer the parameter as plain string instead of pgtype.UUID,
generating Column1 string instead of UserID pgtype.UUID on the
ListRediscover*ForUserParams structs. go vet flagged both call
sites in internal/recommendation/home.go where the Go code passes
UserID by name.
Fix: hash on album_id (or artist_id) + current_date only. The
eligibility filter already differs per user (different liked sets),
so the daily-rotation goal is preserved; we just lose per-user salt
in the within-day ordering of overlapping items - acceptable.
Applies to both primary queries AND both fallback queries (all four
had the same cast).
User request 2026-06-01: the previous Rediscover only fired on
explicit album/artist likes, so users who only liked at the track
level got an empty Rediscover row. Also no daily rotation - the
section never changed between data updates - and 25 items felt long
for the Home carousel.
SQL (internal/db/queries/recommendation.sql):
- ListRediscoverAlbumsForUser UNIONs the existing explicit album-like
signal with a new track-derived path: an album qualifies if it has
>=2 liked tracks where the earliest like is >30 days old.
- ListRediscoverArtistsForUser does the same with threshold 3 (artists
span more releases, so the bar is higher to avoid one-hit-wonder
affinities).
- Both ordering switched from longest-since-last-play to a daily-
stable random hash md5(entity_id || user_id || current_date) so
the row randomizes but stays consistent within a day.
- Fallback queries also switched to the daily-stable hash so the
fallback rows don't reshuffle on every refresh.
Go (internal/recommendation/home.go):
- HomeRediscoverLimit dropped from 25 to 10 (carousel-sized).
- rediscoverInnerLimit (30) is the per-query cap; gives headroom so
the Go-layer filters don't undershoot.
- applyRediscoverAlbumFilters does cross-section dedup vs Most Played
(no point surfacing albums the user is actively spinning) plus a
diversity cap of max 2 albums per artist (prevents one liked-but-
forgotten artist dominating the row).
- applyRediscoverArtistFilters does cross-section dedup vs Most
Played's artist set; no diversity cap needed (one row per artist).
Tests (internal/recommendation/home_integration_test.go):
- TrackDerived path: 2 liked tracks >30d old + no recent plays = album
appears in Rediscover.
- Threshold guard: 1 liked track = album does NOT appear.
- Diversity cap: 4 explicit album-likes from same artist = 2 in output.
- Dedup vs MostPlayed: eligible album whose track is in MostPlayed
gets filtered out.
- Existing FallbackWhenSparse test preserved (semantics unchanged for
recent likes that miss the >30d primary filter).
Clients unchanged - they render whatever /api/home/index returns. No
parity-map row needed (this is a server-internal recommendation
change, not a layout divergence).
handleGetHome itself is well-architected (5 sections in parallel via
goroutines, latency-bound by the slowest single query). The cold-
start lag is two of those queries doing wider scans than necessary.
ListLastPlayedArtistsForUser was iterating FROM artists a with a
LATERAL play_events join per row — O(total_artists in library) plan
even for users who've only played a handful. Inverted: aggregate the
user's plays by artist_id first via the play_events → tracks join
(uses play_events_user_track_idx + tracks pkey), then attach the
artist row and lateral cover/count subqueries only for the artists
that actually appear. Cost now bounded by play history, not library
size.
ListMostPlayedTracksForUser was joining tracks/albums/artists for
every play_event row before grouping — O(total plays) work for
joins. Pre-aggregated play_events into a CTE keyed by track_id +
count(*), then joined to tracks/albums/artists only for the
distinct-tracks survivors. Order-by uses the pre-computed count.
No handler or generated-Go signature changes — both queries return
the same rowset shape, just much faster on libraries where total
artists/plays >> distinct-played-artists/distinct-played-tracks.
Add per-user artist-suggestion service ranking out-of-library MBIDs by
signal x similarity. Single-CTE SQL collects user likes (5x weight) and
recency-decayed plays, joins against artist_similarity_unmatched, and
filters in-library candidates plus non-terminal lidarr_requests. The
service resolves top-3 attribution seeds to artist names in a batched
GetArtistsByIDs call so the UI can render "because you liked X" reasons.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The combined seed_info CTE filtered the seed out when its genre was
NULL/empty. Restored the spec's two-CTE design (seed_artist + seed_tags)
so similar-artist matching works regardless of the seed's genre coverage.
Drops the genre workaround from the SimilarArtist test.
Single SELECT that joins tracks with general_likes (for is_liked) and
an aggregated LATERAL subquery on play_events (for last_played_at,
play_count, skip_count). Excludes seed + tracks played in the last
N hours. Drives the M3 weighted shuffle scoring.
bvandeusen