{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11243747","patent":{"patent_number":"US-11243747","title":"Application digital content control using an embedded machine learning module","assignee":null,"inventors":[],"filing_date":"2020-08-31T00:00:00.000Z","publication_date":"2022-02-08T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N"],"num_claims":20,"abstract":"Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Application digital content control using an embedded machine learning module","description":"Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improve","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11243747","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11243747","citation_suggestion":"Patentable. \"Application digital content control using an embedded machine learning module\" (US-11243747). https://patentable.app/patents/US-11243747","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11243747","json":"https://patentable.app/api/llm-context/US-11243747","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:01:59.256Z"}