{
  "patent_number": "US 8311950",
  "country": "US",
  "title": "Predicting User Interests Based on Who Looks at Whose Profile",
  "original_title": "Detecting content on a social network using browsing patterns",
  "summary": "A method for predicting what a user might be interested in by analyzing the web of connections created when people view each other's social media profile pages.",
  "what_it_does": "This patent describes a way to map social network activity by tracking who visits whose profile page. It creates a graph where nodes represent users and directional links represent a user viewing another user's profile. If a user is known to like a specific topic, the system assigns them a score and then propagates that score to other users who have viewed the same profiles. This allows the system to calculate a likelihood score for other users, suggesting they might also be interested in that same topic based on their browsing behavior.",
  "what_it_does_not_cover": [
    "Does not cover analyzing content based on text keywords or hashtags within a user's own posts.",
    "Does not cover predicting interests based on direct social connections like 'friends' or 'followers'.",
    "Does not cover real-time tracking of mouse movements or dwell time on a specific image.",
    "Does not cover interest prediction based on external search engine queries."
  ],
  "filed": "2009-10-01",
  "granted": "2012-11-13",
  "expires": "2029-10-01",
  "status": "active",
  "holder": "Google LLC",
  "holder_url": "https://patentbrief.org/company/google-llc",
  "inventors": [
    {
      "name": "Kiran S. Panesar",
      "url": "https://patentbrief.org/inventor/kiran-s-panesar"
    },
    {
      "name": "Madhukar N. Thakur",
      "url": "https://patentbrief.org/inventor/madhukar-n-thakur"
    },
    {
      "name": "Ranveer Kunal",
      "url": "https://patentbrief.org/inventor/ranveer-kunal"
    },
    {
      "name": "Amogh S. Asgekar",
      "url": "https://patentbrief.org/inventor/amogh-s-asgekar"
    }
  ],
  "times_cited": 73,
  "tags": [
    "software",
    "ai_ml",
    "ecommerce"
  ],
  "abstract": "In one implementation, a computer-implemented method includes receiving information related to users of a social network site and determining a graph for at least a portion of the social network, the graph including a plurality of nodes connected by directional links where each node corresponds to a user having a profile page on the social network and where each directional link corresponds to a user viewing at least an aspect of a profile page for another user. The method can further include identifying first nodes as including content associated with a particular subject of interest, and seeding the identified first nodes with first scores. The method can also include determining second scores for second nodes by propagating the first scores across the social graph based upon third nodes having viewed aspects of profile pages associated with the first nodes and the second nodes; and providing the determined second scores.",
  "url": "https://patentbrief.org/patent/us/8311950/detecting-content-on-a-social-network-using-browsing-patterns",
  "markdown_url": "https://patentbrief.org/patent/us/8311950/detecting-content-on-a-social-network-using-browsing-patterns/md",
  "google_patents_url": "https://patents.google.com/patent/US8311950",
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}