Kiraaishere Rec Site

| # | Requirement | Description | Acceptance Criteria | |---|-------------|-------------|---------------------| | | User‑profile aggregation | Pull signals from: browsing history, clicks, purchases, ratings, search queries, device, geo. | • All signals stored in user_profile table within 5 min of event. • Profile schema matches data‑model (see §6). | | FR‑2 | Hybrid recommendation engine | Combine collaborative filtering (CF) + content‑based (CB) + business‑rule boost. | • Model returns ≥ 20 candidates per request. • Top‑10 list respects rule‑based priority (e.g., sponsored > personal). | | FR‑3 | Real‑time inference API | /api/v1/recs?user_id=&context= returns JSON with items[] . Must respond ≤ 150 ms p95. | • Load test 2 k RPS, 99 % ≤ 200 ms. • Returns correct schema and fallback to “trending” if user unknown. | | FR‑4 | Contextual slots | Different slots (HOME_TOP, HOME_MID, DETAIL_SIDEBAR, SEARCH_FOOTER). Each slot can have its own business rules (e.g., max 1 sponsored). | • Admin UI shows slot configuration. • API payload contains slot_id field. | | FR‑5 | Sponsored recommendations | Allow merchants to purchase a slot; priority rules + frequency cap (max 3 impressions per user per day). | • Sponsored item appears only if merchant paid and caps not exceeded. • Billing record created. | | FR‑6 | A/B testing framework | Randomly assign users to “control” (existing Top‑10) or “treatment” (KiraaiHere REC) and capture metrics. | • 95 % confidence intervals shown in dashboard. | | FR‑7 | Cache layer | Redis cache keyed by (user_id, slot_id, context_hash) . TTL = 5 min. | • Cache hit rate ≥ 80 % in production. | | FR‑8 | Admin console | UI for: • Slot definitions • Sponsored campaign upload (CSV) • Rule editor (simple DSL) • Real‑time health view | • Only admin role can access. • Changes propagate within 30 s. | | FR‑9 | Analytics & logging | Emit event_type: recommendation_impression and event_type: recommendation_click to Kafka → Snowflake. | • Data pipeline validated with end‑to‑end test. | | FR‑10 | GDPR / privacy compliance | Honor “Do Not Track” and user consent; do not use data for users who opted‑out. | • No profile data stored for opted‑out users; API returns generic trending. |

The document is organized as you would find in a modern product‑development backlog and can be handed directly to designers, engineers, QA, and data‑science teams. kiraaishere rec

Automated web scraping bots regularly monitor high-traffic streaming directories. They record video streams when target accounts change status from "offline" to "live". | # | Requirement | Description | Acceptance