{
  "patent_number": "US 8429011",
  "country": "US",
  "title": "How Computers Automatically Target Ads Based on Trending Internet Memes",
  "original_title": "Method and system for targeted advertising based on topical memes",
  "summary": "A system that finds trending internet topics, measures how fast they are spreading, and automatically places relevant advertisements on the web pages where those topics are being discussed.",
  "what_it_does": "This patent describes a system that scans the internet to find content related to specific topics. It extracts 'topical memes'—which the patent defines as specific points of discussion within those topics—and calculates a 'viral dynamics metric' to see how popular or fast-spreading that content is. By adding these metrics together, the system identifies the most active meme and automatically selects an advertisement to display on the web pages where that meme is appearing. It also chooses the best advertising network to deliver the ad based on which network has the widest reach for those specific pages.",
  "what_it_does_not_cover": [
    "Does not cover advertising based on static user demographics like age or location.",
    "Does not cover manual ad placement where a human decides which ad goes on which page.",
    "Does not cover content analysis that ignores the 'viral dynamics' or speed of spread.",
    "Does not cover systems that do not use an advertising network to deliver the content."
  ],
  "filed": "2009-01-20",
  "granted": "2013-04-23",
  "expires": null,
  "status": "active",
  "holder": "Salesforce com Inc",
  "holder_url": "https://patentbrief.org/company/salesforce-com-inc",
  "inventors": [
    {
      "name": "Christopher Bennett Ramsey",
      "url": "https://patentbrief.org/inventor/christopher-bennett-ramsey"
    },
    {
      "name": "Christopher Daniel Newton",
      "url": "https://patentbrief.org/inventor/christopher-daniel-newton"
    },
    {
      "name": "Marcel Albert Lebrun",
      "url": "https://patentbrief.org/inventor/marcel-albert-lebrun"
    }
  ],
  "times_cited": 8,
  "tags": [
    "software",
    "ecommerce",
    "ai_ml"
  ],
  "abstract": "A targeted advertising system and method based on memes contained in content sources are disclosed. Content matching keywords-defining topics are identified from content sources and are further processed to extract the memes. Ad networks servicing the content are also identified and their reach for each meme determined. The system and method extract also viral dynamics of the content associated to a meme and use the aggregation of the viral dynamics as a measure of engagement level for the meme. The system and method allow a Marketer to select a meme based on the engagement level and to run an ad campaign against the meme. The advertisements are delivered through an Ad network and inserted at the meme page level when the content hosting the meme is accessed, the Ad network being selected based on its reach.",
  "url": "https://patentbrief.org/patent/us/8429011/facebook-ad-targeting",
  "markdown_url": "https://patentbrief.org/patent/us/8429011/facebook-ad-targeting/md",
  "google_patents_url": "https://patents.google.com/patent/US8429011",
  "relatedPatents": []
}