{
  "patent_number": "US 11874885",
  "country": "US",
  "title": "How Your Device Learns Your Habits for Personalized Content Recommendations",
  "original_title": "Method and apparatus for providing content based on knowledge graph",
  "summary": "This patent describes a system where your device creates a personal profile of your behavior, combines it with a vast online knowledge base, and uses both to give you super-personalized content recommendations.",
  "what_it_does": "This patent outlines a method for a device, like a smartphone, to generate highly personalized content recommendations. It starts by collecting \"log history information\" about how you use the device, such as apps opened or settings changed (Claim 1). Based on this history, the device builds a \"device knowledge graph\" – essentially a map of your interactions, structured in a specific data format called an ontology (Claim 1). It also creates a \"pattern knowledge graph\" that captures your typical behavior patterns, connecting your actions to specific situations (Claim 3). This local knowledge is then combined with a larger \"server knowledge graph,\" which is updated regularly with vast amounts of data from the internet (Claim 1). The device updates its own knowledge graph by adding your behavior patterns and connects its local insights to the server's broad knowledge. Finally, the device uses this combined, updated knowledge to provide you with content recommendations tailored to your current situation, or \"context data,\" on its screen (Claim 1). For example, if your device learns you often listen to podcasts while commuting (a behavior pattern in a specific context), it might recommend new podcasts when it detects you're on your morning bus ride.",
  "what_it_does_not_cover": [
    "Does not cover content recommendation systems that rely solely on a server-side knowledge graph without generating or updating a device-specific knowledge graph.",
    "Does not cover systems where the device knowledge graph is not structured in an 'ontology form comprising a first entity expressed in a resource description framework (RDF)'.",
    "Does not cover systems that do not generate a 'pattern knowledge graph associated with a behavior pattern of a user' based on device usage.",
    "Does not cover systems where the server's knowledge graph is not 'updated periodically by the server based on big data collected through web crawling' and does not 'support a search engine'.",
    "Does not cover recommendation systems that do not connect device-generated recommendation knowledge to server-generated recommendation knowledge to update the device's graph."
  ],
  "filed": "2020-07-14",
  "granted": "2024-01-16",
  "expires": "2040-07-14",
  "status": "active",
  "holder": "Samsung Electronics Co",
  "holder_url": "https://patentbrief.org/company/samsung-electronics-co",
  "inventors": [
    {
      "name": "Yunsu LEE",
      "url": "https://patentbrief.org/inventor/yunsu-lee"
    },
    {
      "name": "Jiyoung KANG",
      "url": "https://patentbrief.org/inventor/jiyoung-kang"
    },
    {
      "name": "Hyonsok LEE",
      "url": "https://patentbrief.org/inventor/hyonsok-lee"
    },
    {
      "name": "Taeho Hwang",
      "url": "https://patentbrief.org/inventor/taeho-hwang"
    },
    {
      "name": "Mirae Jeong",
      "url": "https://patentbrief.org/inventor/mirae-jeong"
    },
    {
      "name": "Jungho Park",
      "url": "https://patentbrief.org/inventor/jungho-park"
    },
    {
      "name": "Jaehun Lee",
      "url": "https://patentbrief.org/inventor/jaehun-lee"
    }
  ],
  "times_cited": 4,
  "tags": [
    "consumer_electronics",
    "software",
    "ai_ml",
    "telecommunications"
  ],
  "abstract": "A content recommendation is provided based on a knowledge graph using, for example, a processor and memory of a device. In some embodiments, sensors are used. The content recommendation efficiently makes user of the processor, memory and/or sensors. A knowledge graph is maintained at the device and another knowledge graph may be maintained at a server. The knowledge graph at the device is generated, for example, by obtaining log history information, generating a device knowledge graph, generating a pattern knowledge graph associated with a behavior pattern of a user, and/or updating the device knowledge graph by adding the pattern knowledge graph to the device knowledge graph. In some examples, the knowledge graph at the server is generated by a server, based on the pattern knowledge graph.",
  "url": "https://patentbrief.org/patent/us/11874885/method-and-apparatus-for-providing-content-based-on-knowledge-graph",
  "markdown_url": "https://patentbrief.org/patent/us/11874885/method-and-apparatus-for-providing-content-based-on-knowledge-graph/md",
  "google_patents_url": "https://patents.google.com/patent/US11874885",
  "relatedPatents": []
}