Midv-277 [updated] (OFFICIAL 2026)

| # | Description | Acceptance Criteria | |---|-------------|---------------------| | | Tag ingestion pipeline – ingest editorial tags from the CMS, normalize them, and store in a Tag‑Lookup service. | - All tags appear in the tags table within 5 min of publishing. - Duplicate tags are merged (case‑insensitive). | | FR‑2 | User‑tag profile – maintain a per‑user vector of tag affinities (frequency, recency). | - Updated after each page view with tags. - Reset to 0 after 90 days of inactivity. | | FR‑3 | Recommendation API – GET /v1/recommendations?userId={}&slot={}&limit={} returns a ranked list of content IDs. | - Returns ≥ 5 items, sorted by relevance score. - Latency ≤ 150 ms (95 %ile). | | FR‑4 | Scoring algorithm – relevance = (user‑tag affinity × tag‑content weight) + (content‑business‑value × boost). | - Documented formula in Confluence. - Scores are deterministic for a given input. | | FR‑5 | Fallback – if the engine cannot produce ≥ 3 items, fall back to static “Top‑Viewed” list. | - Fallback triggers < 0.5 % of requests. - UI displays “Trending” label to avoid confusion. | | FR‑6 | Editor UI – Tag‑Weighting – within the CMS, editors can set a numeric “Business Value” (0‑10) per article. | - Value stored in content_tags.business_value column. - UI validates integer range. | | FR‑7 | A/B Testing harness – allow toggling between baseline (current static related) and new (smart) for 10 % of traffic. | - Experiment results exported to Amplitude/GA. | | FR‑8 | Analytics events – fire RecommendationShown , RecommendationClicked , RecommendationDismissed . | - Event payload includes userId , contentId , slot , rank . | | FR‑9 | Privacy compliance – respect Do‑Not‑Track, GDPR “right to be forgotten”. | - If a user opts out, the recommendation engine returns empty list. | | FR‑10 | Admin dashboard – view real‑time health (latency, error rate) and top‑performing tags. | - Dashboard accessible to role=admin . |

While the performer is the draw, the theme is the hook. JAV is rarely just about visual stimulation; it is often deeply rooted in narrative scenarios (situational pornography). MIDV-277 is notable for its specific thematic framing. Without delving into explicit detail, the title falls within a popular genre that emphasizes stamina, endurance, and relentless interaction. MIDV-277

Deliver a real‑time, tag‑driven recommendation engine that surfaces the most relevant articles, videos, and product guides to each user based on the tags they interact with, their historic tag preferences, and the editorial “business‑value” weight of each piece of content. | # | Description | Acceptance Criteria |