feat(playlists): For You composition v2 — multi-seed blend + weighted fresh tail
test-go / test (push) Successful in 29s
test-go / integration (push) Successful in 4m37s

Two approved composition changes (#1269), mechanism only — the
taste/fresh share stays data-decided (#1252) and pick_kind
attribution is unchanged.

Multi-seed blending: each day's build now seeds from up to 3 of the
user's top-5 tracks (pickDailySeeds, the generalized daily shuffle)
instead of one rotating anchor, so the mix spans neighborhoods within
a day and stops feeling bipolar as the rotation swings between
dissimilar seeds. Per-seed pools merge first-seen-deduped; the head
is filled best-first under 50/30/20 per-seed quotas (60/40 for two
seeds) so one neighborhood can't monopolize it, with thin-seed quota
spilling best-first.

Score-weighted fresh tail: the tail sample (rank 2*headN onward) was
uniform — the 380th-best candidate as likely as the 101st. It now
uses deterministic Efraimidis-Spirakis keys with weight halving every
50 ranks, so freshness keeps its "you'll probably enjoy this" half
while still rotating daily.

The retired single-seed picker's one other caller, You-might-like,
moves to pickDailySeeds(n=1) — a single neighborhood per day is right
for a short shelf, and the behavior note is inline.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TsF3cNoKrqCYsU78cXC8U6
This commit is contained in:
2026-07-03 09:02:35 -04:00
parent 48f288e2e5
commit 9e02878b61
6 changed files with 382 additions and 106 deletions
+192 -62
View File
@@ -12,6 +12,7 @@ import (
"errors"
"fmt"
"log/slog"
"math"
"math/rand"
"sort"
"time"
@@ -83,32 +84,15 @@ func userIDHash(userID pgtype.UUID, dateStr string) uint64 {
return binary.BigEndian.Uint64(sum[:8])
}
// pickForYouSeedForDay picks one of the user's top-played candidate
// tracks as today's For-You seed. With 5 candidates and SHA-256-based
// rotation, each candidate gets picked roughly 1 day in 5; the chosen
// seed drives the similarity candidate pool, so the resulting mix is
// substantially different across days for a user with diverse top-N
// plays.
//
// Degrades gracefully: 1 candidate → returns it; 0 → returns zero UUID
// (caller treats as "no seed available" and skips For-You).
func pickForYouSeedForDay(seeds []pgtype.UUID, userID pgtype.UUID, dateStr string) pgtype.UUID {
if len(seeds) == 0 {
return pgtype.UUID{}
}
idx := int(userIDHash(userID, dateStr) % uint64(len(seeds)))
return seeds[idx]
}
// pickSeedArtistsForDay takes a candidate pool of up to N artists and
// returns up to 3 of them, daily-deterministically shuffled. Each day
// gets a different ordering / selection, but within-day stability is
// preserved (same inputs always produce the same output).
// pickDailySeeds takes a candidate pool of UUIDs and returns up to n
// of them, daily-deterministically shuffled. Each day gets a different
// ordering / selection, but within-day stability is preserved (same
// inputs always produce the same output).
//
// Uses Fisher-Yates over a copy of the input, seeded by userIDHash.
// Degrades gracefully: <3 candidates returns whatever is available in
// Degrades gracefully: <n candidates returns whatever is available in
// shuffled order.
func pickSeedArtistsForDay(pool []pgtype.UUID, userID pgtype.UUID, dateStr string) []pgtype.UUID {
func pickDailySeeds(pool []pgtype.UUID, userID pgtype.UUID, dateStr string, n int) []pgtype.UUID {
if len(pool) == 0 {
return nil
}
@@ -118,13 +102,18 @@ func pickSeedArtistsForDay(pool []pgtype.UUID, userID pgtype.UUID, dateStr strin
rng.Shuffle(len(shuffled), func(i, j int) {
shuffled[i], shuffled[j] = shuffled[j], shuffled[i]
})
n := 3
if len(shuffled) < n {
n = len(shuffled)
}
return shuffled[:n]
}
// pickSeedArtistsForDay picks up to 3 seed artists for the Songs-like
// mixes; For-You uses pickDailySeeds directly with forYouSeedCount.
func pickSeedArtistsForDay(pool []pgtype.UUID, userID pgtype.UUID, dateStr string) []pgtype.UUID {
return pickDailySeeds(pool, userID, dateStr, 3)
}
// rankedCandidate is a (track_id, score) pair used during in-memory
// sorting before insert into playlist_tracks. T5 fills these from
// recommendation.Candidate scores. PickKind is the track's provenance
@@ -226,6 +215,122 @@ const (
forYouTailN = 50
)
// forYouSeedCount is how many of the user's top-5 tracks seed each
// day's build (#1269). A single rotating seed made the mix bipolar
// day-to-day — swinging whole neighborhoods as the rotation moved
// between dissimilar anchors; blending 3 spans neighborhoods within
// one day and smooths the swing across days.
const forYouSeedCount = 3
// headQuotas fixes each seed's share of the For-You head so one
// neighborhood can't monopolize it even when its candidates out-score
// the others (#1269): 50/30/20 for three seeds, 60/40 for two, all of
// it for one. Rounding remainder goes to the primary seed; a thin
// seed's unfilled quota spills best-first in pickQuotaHead.
func headQuotas(numSeeds, headN int) []int {
if numSeeds <= 1 {
return []int{headN}
}
fractions := []float64{0.5, 0.3, 0.2}
if numSeeds == 2 {
fractions = []float64{0.6, 0.4}
}
if numSeeds > len(fractions) {
// Not reachable at forYouSeedCount = 3; even split keeps any
// future seed-count change from silently starving seeds.
fractions = make([]float64, numSeeds)
for i := range fractions {
fractions[i] = 1.0 / float64(numSeeds)
}
}
quotas := make([]int, numSeeds)
assigned := 0
for i := 0; i < numSeeds; i++ {
quotas[i] = int(float64(headN) * fractions[i])
assigned += quotas[i]
}
quotas[0] += headN - assigned
return quotas
}
// pickQuotaHead walks the score-sorted capped pool best-first, taking
// candidates whose originating seed still has head quota; slots a thin
// seed can't fill spill best-first regardless of seed in a second
// pass. A nil seedOf (single-seed path, tests) attributes everything
// to seed 0, which reduces to plain top-headN.
func pickQuotaHead(capped []recommendation.Candidate, seedOf map[pgtype.UUID]int, numSeeds, headN int) []recommendation.Candidate {
quotas := headQuotas(numSeeds, headN)
taken := make([]int, len(quotas))
inHead := make(map[pgtype.UUID]bool, headN)
head := make([]recommendation.Candidate, 0, headN)
for _, c := range capped {
if len(head) >= headN {
break
}
si := seedOf[c.Track.ID]
if si < 0 || si >= len(quotas) {
si = 0
}
if taken[si] >= quotas[si] {
continue
}
taken[si]++
head = append(head, c)
inHead[c.Track.ID] = true
}
for _, c := range capped {
if len(head) >= headN {
break
}
if inHead[c.Track.ID] {
continue
}
head = append(head, c)
inHead[c.Track.ID] = true
}
return head
}
// forYouTailHalfLifeRanks tunes the fresh tail's rank bias (#1269): a
// candidate's sampling weight halves every 50 ranks, so the 101st-best
// candidate is far likelier than the 401st-best instead of equal —
// freshness keeps its "you'll probably enjoy this" half.
const forYouTailHalfLifeRanks = 50.0
// tailSampleUniverse quantizes tieBreakHash into a uniform (0,1] draw
// for the weighted sample; 1e6 buckets is plenty of resolution for
// pools of a few hundred.
const tailSampleUniverse uint64 = 1_000_000
// pickWeightedTail samples up to tailN candidates from the rank-
// ordered tail pool with exponentially rank-decaying weights, using
// deterministic Efraimidis-Spirakis keys (u^(1/w), u derived from
// tieBreakHash): same (track, day) → same key, so the sample is stable
// within a day and rotates across days. Replaces the uniform daily
// draw where rank 380 had the same chance as rank 101.
func pickWeightedTail(tailPool []recommendation.Candidate, dateStr string, tailN int) []recommendation.Candidate {
if len(tailPool) <= tailN {
return tailPool
}
type keyed struct {
c recommendation.Candidate
key float64
}
keys := make([]keyed, len(tailPool))
for i, c := range tailPool {
u := (float64(tieBreakHash(c.Track.ID, dateStr)%tailSampleUniverse) + 1) /
float64(tailSampleUniverse+1)
w := math.Exp2(-float64(i) / forYouTailHalfLifeRanks)
keys[i] = keyed{c: c, key: math.Pow(u, 1/w)}
}
sort.SliceStable(keys, func(i, j int) bool { return keys[i].key > keys[j].key })
out := make([]recommendation.Candidate, tailN)
for i := 0; i < tailN; i++ {
out[i] = keys[i].c
}
return out
}
// scoreAndSortCandidates scores every candidate with recommendation.Score
// and returns a new slice sorted by score DESC (ties broken by
// tieBreakHash). The scoring RNG is seeded by userIDHash so jitter is
@@ -387,10 +492,11 @@ func systemForYouSourceLimits() recommendation.CandidateSourceLimits {
}
}
// produceForYou: today's seed from the user's top-5 played tracks
// (rotates daily via userIDHash), similarity candidate pool, head+
// tail composition. The base seed query failing is fatal; a
// candidate-load failure is logged and yields no For-You.
// produceForYou: blend candidate pools from up to forYouSeedCount of
// the user's top-5 played tracks (rotating daily via pickDailySeeds),
// then head+tail composition with per-seed head quotas (#1269). The
// base seed query failing is fatal; a per-seed candidate-load failure
// is logged and that seed just contributes nothing.
func produceForYou(
ctx context.Context, q *dbq.Queries, logger *slog.Logger,
userID pgtype.UUID, dateStr string, now time.Time,
@@ -399,24 +505,40 @@ func produceForYou(
if err != nil {
return nil, fmt.Errorf("pick for-you seed candidates: %w", err)
}
forYouSeed := pickForYouSeedForDay(forYouSeeds, userID, dateStr)
if !forYouSeed.Valid {
seeds := pickDailySeeds(forYouSeeds, userID, dateStr, forYouSeedCount)
if len(seeds) == 0 {
return nil, nil
}
zeroVec := recommendation.SessionVector{Seed: true}
cands, cerr := recommendation.LoadCandidatesFromSimilarity(
ctx, q, userID, forYouSeed,
1, // recentlyPlayedHours — small to avoid filtering the seed's recent neighbourhood
zeroVec,
[]pgtype.UUID{forYouSeed},
systemForYouSourceLimits(),
)
if cerr != nil {
logger.Warn("system playlist: for-you candidates load failed; skipping",
"user_id", uuidStringPL(userID), "err", cerr)
// Merge per-seed pools; first-seen wins on dedup, and seedOf
// remembers which seed sourced each track for the head quotas.
var merged []recommendation.Candidate
seedOf := map[pgtype.UUID]int{}
for i, seed := range seeds {
cands, cerr := recommendation.LoadCandidatesFromSimilarity(
ctx, q, userID, seed,
1, // recentlyPlayedHours — small to avoid filtering the seed's recent neighbourhood
zeroVec,
seeds,
systemForYouSourceLimits(),
)
if cerr != nil {
logger.Warn("system playlist: for-you candidates load failed for seed; continuing",
"user_id", uuidStringPL(userID), "seed", uuidStringPL(seed), "err", cerr)
continue
}
for _, c := range cands {
if _, seen := seedOf[c.Track.ID]; seen {
continue
}
seedOf[c.Track.ID] = i
merged = append(merged, c)
}
}
if len(merged) == 0 {
return nil, nil
}
tracks := pickHeadAndTail(cands, userID, dateStr, now, forYouHeadN, forYouTailN)
tracks := pickHeadAndTail(merged, seedOf, len(seeds), userID, dateStr, now, forYouHeadN, forYouTailN)
if len(tracks) == 0 {
return nil, nil
}
@@ -672,10 +794,11 @@ func pickTopN(cands []recommendation.Candidate, userID pgtype.UUID, dateStr stri
return out
}
// pickHeadAndTail picks headN from the score-sorted head plus tailN from
// positions 2*headN onward (the tail), with the tail sampled
// daily-deterministically via tieBreakHash. Caps applied before the
// head/tail split. Used by For-You only.
// pickHeadAndTail picks headN taste anchors from the score-sorted pool
// (under per-seed quotas when seedOf/numSeeds describe a multi-seed
// blend, #1269) plus tailN freshness picks sampled rank-weighted from
// positions 2*headN onward. Caps applied before the head/tail split.
// Used by For-You only.
//
// The "tail" — candidates ranked beyond 2*headN — is still similarity-
// related (every candidate passed the similarity filter) but isn't among
@@ -685,7 +808,10 @@ func pickTopN(cands []recommendation.Candidate, userID pgtype.UUID, dateStr stri
// Falls back to standard pickTopN behavior when the candidate pool is too
// small to support a meaningful head/tail split (capped pool <=
// headN+tailN, or no candidates at or beyond position 2*headN).
func pickHeadAndTail(cands []recommendation.Candidate, userID pgtype.UUID, dateStr string, now time.Time, headN, tailN int) []rankedCandidate {
func pickHeadAndTail(
cands []recommendation.Candidate, seedOf map[pgtype.UUID]int, numSeeds int,
userID pgtype.UUID, dateStr string, now time.Time, headN, tailN int,
) []rankedCandidate {
sorted := scoreAndSortCandidates(cands, userID, dateStr, now)
capped := capCandidatesByAlbumAndArtist(sorted)
rng := rand.New(rand.NewSource(int64(userIDHash(userID, dateStr))))
@@ -709,30 +835,34 @@ func pickHeadAndTail(cands []recommendation.Candidate, userID pgtype.UUID, dateS
return out
}
head := capped[:headN]
head := pickQuotaHead(capped, seedOf, numSeeds, headN)
inHead := make(map[pgtype.UUID]bool, len(head))
for _, c := range head {
inHead[c.Track.ID] = true
}
tailStart := 2 * headN
if tailStart >= len(capped) {
tailStart = headN
}
// Defensive copy so that sorting the tail pool does not mutate capped.
tailPool := append([]recommendation.Candidate{}, capped[tailStart:]...)
// Sort tail pool by tieBreakHash (daily-deterministic), take tailN.
// Sample is stable across requests within a day but varies across days.
sort.SliceStable(tailPool, func(i, j int) bool {
return tieBreakHash(tailPool[i].Track.ID, dateStr) < tieBreakHash(tailPool[j].Track.ID, dateStr)
})
tail := tailPool
if len(tail) > tailN {
tail = tail[:tailN]
// The tail pool keeps its rank order (position drives the sampling
// weight); head members are excluded — a quota walk can reach past
// tailStart when a seed's candidates rank deep.
tailPool := make([]recommendation.Candidate, 0, len(capped)-tailStart)
for _, c := range capped[tailStart:] {
if inHead[c.Track.ID] {
continue
}
tailPool = append(tailPool, c)
}
tail := pickWeightedTail(tailPool, dateStr, tailN)
// Combine: head order preserved (score-sorted), tail in tieBreakHash
// order. "First similar, then surprise" reads naturally in playback.
// Head entries are the taste picks; tail entries are the freshness
// injection (#1249) — the split the metrics page attributes skips to.
// Combine: head first (score-sorted under quotas), then the fresh
// sample. "First similar, then surprise" reads naturally in
// playback. Head entries are the taste picks; tail entries are the
// freshness injection (#1249) — the split the metrics page
// attributes skips to.
combined := make([]recommendation.Candidate, 0, len(head)+len(tail))
combined = append(combined, head...)
combined = append(combined, tail...)