{
  "patent_number": "US 10977311",
  "country": "US",
  "title": "How Devices Personalize Their Screens Using Your Data and Smart Connections",
  "original_title": "Dynamically modifying elements of user interface based on knowledge graph",
  "summary": "This patent describes how an electronic device can gather information about how you use it, understand what that information means, and then automatically change its screen to be more helpful or relevant to you.",
  "what_it_does": "This patent details a method for an electronic device to automatically adjust its user interface (UI). First, it \"collates usage information of at least one data source\" on the device, meaning it collects data about how you use apps, files, or other content. This collected data is then \"categorized\" into \"knowledge clusters,\" grouping similar usage patterns or topics. These clusters form a \"knowledge graph,\" which is like a map of all the related things you do or are interested in. Based on this knowledge graph, the device then \"dynamically modifies\" an element of its UI, such as changing an icon, suggesting an app, or altering a layout, using a \"visual indicator associated with a first knowledge cluster.\" For example, if your phone learns you frequently search for hiking trails and camping gear, it might automatically show a weather widget for your local mountains or suggest a map app on your home screen.",
  "what_it_does_not_cover": [
    "Does not cover UI changes based solely on pre-set rules or fixed schedules, as it requires a dynamically updated knowledge graph.",
    "Does not cover UI modifications that are not based on collated usage information from data sources on the device.",
    "Does not cover simple UI changes that lack semantic understanding or the use of \"word vectors\" to extract meaning from data.",
    "Does not cover UI adjustments made only by explicit user settings without the device learning from usage patterns.",
    "Does not cover UI modifications that are purely random or aesthetic without a basis in user behavior analysis."
  ],
  "filed": "2018-11-06",
  "granted": "2021-04-13",
  "expires": "2038-11-06",
  "status": "active",
  "holder": "Samsung Electronics Co",
  "holder_url": "https://patentbrief.org/company/samsung-electronics-co",
  "inventors": [
    {
      "name": "Satnam Singh",
      "url": "https://patentbrief.org/inventor/satnam-singh"
    },
    {
      "name": "Nirmesh NEEMA",
      "url": "https://patentbrief.org/inventor/nirmesh-neema"
    },
    {
      "name": "Ravitheja TETALI",
      "url": "https://patentbrief.org/inventor/ravitheja-tetali"
    },
    {
      "name": "Sailesh Kumar Sathish",
      "url": "https://patentbrief.org/inventor/sailesh-kumar-sathish"
    },
    {
      "name": "Bhavani Shankar YELESWARAPU",
      "url": "https://patentbrief.org/inventor/bhavani-shankar-yeleswarapu"
    }
  ],
  "times_cited": 1,
  "tags": [
    "consumer_electronics",
    "software",
    "ai_ml",
    "telecommunications"
  ],
  "abstract": "A method and a system for dynamically modifying at least one element of a User Interface (UI) of a first electronic device are provided. The method includes collating usage information of at least one data source in the first electronic device, categorizing the collated usage information into one or more knowledge clusters, forming a knowledge graph using the one or more knowledge clusters, and dynamically modifying the at least one element of the UI based on the knowledge graph.",
  "url": "https://patentbrief.org/patent/us/10977311/dynamically-modifying-elements-of-user-interface-based-on-knowledge-graph",
  "markdown_url": "https://patentbrief.org/patent/us/10977311/dynamically-modifying-elements-of-user-interface-based-on-knowledge-graph/md",
  "google_patents_url": "https://patents.google.com/patent/US10977311",
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}