Imoutotv Hot 🔥 Best Pick

+-----------------+      +-------------------+      +-------------------+
|   Event Streams | ---> |   Hot Score Job   | ---> |   Redis SortedSet |
| (likes, watches,|      | (Spark/Flink)     |      |   hot:global      |
|  comments, etc) |      +-------------------+      +-------------------+
        |                                            |
        |                                            v
        |                                    +-------------+
        |                                    |  API Server |
        |                                    +-------------+
        |                                            |
        |   +----------------------+                |
        +-> | Moderation Service   | <---+          |
            +----------------------+     |          |
                                         v
                                   +---------------+
                                   | Front‑end UI  |
                                   +---------------+

The Hot Score Job consumes the event stream, joins with the videos table (metadata + moderation status), applies the decay & weighting, writes the top‑N scores to Redis. The API Server reads from Redis, applies per‑creator caps, and returns JSON to the UI.

GET /api/v1/hot?type=global&limit=20&offset=0
Headers:
  Authorization: Bearer <jwt>
  X-Feature-Flag: hot_enabled=1
Response (200):
"type": "global",
  "generatedAt": "2026-04-12T08:45:00Z",
  "items": [
"rank": 1,
      "videoId": "v_7a9f2c",
      "title": "Epic Sword Battle",
      "thumbnailUrl": "https://cdn.imoutotv.com/thumbs/v_7a9f2c.jpg",
      "creator": 
        "id": "c_1234",
        "name": "NekoBlade",
        "avatarUrl": "https://cdn.imoutotv.com/avatars/c_1234.png"
      ,
      "hotScore": 1284.3,
      "stats": 
        "likes": 540,
        "comments": 87,
        "watchTimeSec": 25400,
        "shares": 30
,
    …
  ],
  "paging": 
    "limit": 20,
    "offset": 0,
    "total": 1234

Same as above, but type=personal. The server will compute similarity on‑the‑fly using pre‑computed embeddings stored in a vector DB (e.g., Milvus, Pinecone). imoutotv hot