{
  "patent_number": "US 12118030",
  "country": "US",
  "title": "How a Recommendation System Learns What You Really Want to Watch",
  "original_title": "Dynamic feedback in a recommendation system",
  "summary": "This patent describes a media recommendation system that creates a unique user profile, uses it to pick a starting point, and then dynamically adjusts a list of suggestions based on what you've already watched and your real-time feedback.",
  "what_it_does": "The system first builds a \"profile vector\" for a user (Claim 1). This profile is clever because it gives less weight to media items the user has watched many times, encouraging new discoveries. For example, if you've watched \"The Matrix\" 50 times, that movie's influence on your profile might be reduced. Next, it picks a \"seed media item\" based on this profile, which acts as a starting point for recommendations (Claim 1). This seed could be a trending show or something you recently liked (Claim 4). Then, the system creates a \"pool\" of other media items and sorts them by how similar they are to the seed item (Claim 1). Finally, it selects an item from this sorted pool for you to watch (Claim 1). Crucially, if you give feedback, like skipping a song or rating a movie, the system instantly updates the pool with new suggestions (Claim 3).",
  "what_it_does_not_cover": [
    "Does not cover recommendation systems that do not reduce the influence of frequently consumed media items in the user profile.",
    "Does not cover systems that generate recommendations without first establishing a \"seed media item\" based on the user's profile.",
    "Does not cover systems where the pool of media items is not sorted by vector distance to a seed item.",
    "Does not cover systems that do not dynamically modify the recommendation pool based on user feedback.",
    "Does not cover systems that rely solely on explicit user ratings without considering consumption frequency."
  ],
  "filed": "2023-07-19",
  "granted": "2024-10-15",
  "expires": "2043-07-19",
  "status": "active",
  "holder": "Malibu Entertainment",
  "holder_url": "https://patentbrief.org/company/malibu-entertainment",
  "inventors": [
    {
      "name": "Samuel Evan SANDBERG",
      "url": "https://patentbrief.org/inventor/samuel-evan-sandberg"
    },
    {
      "name": "Damian Franken Manning",
      "url": "https://patentbrief.org/inventor/damian-franken-manning"
    }
  ],
  "times_cited": 0,
  "tags": [
    "consumer_electronics",
    "software",
    "telecommunications",
    "ai_ml",
    "gaming"
  ],
  "abstract": "A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.",
  "url": "https://patentbrief.org/patent/us/12118030/dynamic-feedback-in-a-recommendation-system",
  "markdown_url": "https://patentbrief.org/patent/us/12118030/dynamic-feedback-in-a-recommendation-system/md",
  "google_patents_url": "https://patents.google.com/patent/US12118030",
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}