{
  "patent_number": "US 20150206070",
  "country": "US",
  "title": "How Computers Group Files Based on Meaning and Context",
  "original_title": "Context based co-operative learning system and method for representing thematic relationships",
  "summary": "A system that organizes digital files and data into related groups by analyzing their meaning, context, and how they relate to one another.",
  "what_it_does": "The system acts as an intelligent librarian for digital data. It uses an identifier to index files and a context determinator to figure out what those files are actually about by analyzing their semantic and syntactic features. It then builds clusters of related objects and maps user search queries to these clusters to return highly relevant results. A key component is the co-operative learner, which allows different instances of the system to share what they have learned about themes and contexts to improve future search accuracy.",
  "what_it_does_not_cover": [
    "Does not cover simple keyword-based search engines that lack thematic clustering.",
    "Does not cover hardware storage devices or physical data retrieval methods.",
    "Does not cover systems that rely solely on user-provided tags without automated semantic analysis.",
    "Does not cover real-time streaming data processing that does not involve indexing or clustering."
  ],
  "filed": "2015-04-01",
  "granted": null,
  "expires": null,
  "status": "active",
  "holder": "Individual",
  "holder_url": "https://patentbrief.org/company/individual",
  "inventors": [
    {
      "name": "Santosh Dwivedi",
      "url": "https://patentbrief.org/inventor/santosh-dwivedi"
    },
    {
      "name": "Parag Arun Kulkarni",
      "url": "https://patentbrief.org/inventor/parag-arun-kulkarni"
    },
    {
      "name": "Yashodhara V. Haribhakta",
      "url": "https://patentbrief.org/inventor/yashodhara-v-haribhakta"
    }
  ],
  "times_cited": 17,
  "tags": [
    "software",
    "ai_ml",
    "ecommerce"
  ],
  "abstract": "Systems and methods progressively or heuristically associate themes amongst plural objects in a computer setting. Objects, including files, modules, programs, data, and the like can be arranged in a population by their association with a particular theme and user-input context. Based on input search parameters and associations, the objects can be progressively matched with appropriate context and returned in more relevant searches. Themes and context for individual objects can be individually determined based on semantic input and well as meta data associated with the objects. Objects can be returned based on search criteria in rank order according to their association. Systems and methods are useable or organization of objects in Internet searches, document searches and collation, document and content visual representation, database management, polling systems, and document management systems.",
  "url": "https://patentbrief.org/patent/us/20150206070/generative-adversarial-networks-gans",
  "markdown_url": "https://patentbrief.org/patent/us/20150206070/generative-adversarial-networks-gans/md",
  "google_patents_url": "https://patents.google.com/patent/US20150206070",
  "relatedPatents": []
}