Matt Ciaccio b1e787e55c feat(recommender): SQL ranking + tier ladder + heat scoring ...

Plan §4.4 + §13: pure SQL recommender, no AI. Single CTE chain
(feasible -> aggregates) + JS-side tier classification, fall-through
cooldown filter, heat scoring, and fit ranking. Per-port settings via
system_settings layered over global + DEFAULT_RECOMMENDER_SETTINGS.

Tier ladder (default):
  A : no interest history
  B : lost-only history (still recommendable + boosted by heat)
  C : active interest in early stage (open..eoi_signed)
  D : active interest at deposit_10pct or beyond (hidden by default)

Heat (only for tier B):
  recency        weight 30  full @ <=30 days, decays to 0 @ 365 days
  furthest stage weight 40  full when prior reached deposit
  interest count weight 15  saturates at 5+
  EOI count      weight 15  saturates at 3+

Multi-port isolation enforced (§14.10 critical): the SQL filters by
port_id AND the entry-point function rejects cross-port interest
lookups with an explicit error. Fall-through policy supports
immediate_with_heat (default), cooldown, and never_auto_recommend.

15 unit tests covering tier classification, heat saturation, weight
tuning, zero-weight guard. Smoke-tested end-to-end via
scripts/dev-recommender-smoke.ts.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-05 02:58:34 +02:00

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