{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10491617","patent":{"patent_number":"US-10491617","title":"Systems and methods configuring a subscriber-specific ensemble of machine learning models","assignee":null,"inventors":[],"filing_date":"2019-05-31T00:00:00.000Z","publication_date":"2019-11-26T00:00:00.000Z","cpc_codes":["H04L","H04L","G06N","G06N","H04L"],"num_claims":15,"abstract":"A machine learning-based system and method for identifying digital threats that includes implementing a machine learning-based digital threat mitigation service over a distributed network of computers; constructing, by the machine learning-based digital threat mitigation service, a subscriber-specific machine learning ensemble that includes a plurality of distinct machine learning models, wherein each of the plurality of distinct machine learning models is configured to perform a distinct machine learning task for identifying a digital threat or digital fraud; constructing a corpus of subscriber-specific digital activity data for training the plurality of distinct machine learning models of the subscriber-specific ensemble; training the subscriber-specific ensemble using at least the corpus of subscriber-specific digital activity data; and deploying the subscriber-specific ensemble."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods configuring a subscriber-specific ensemble of machine learning models","description":"A machine learning-based system and method for identifying digital threats that includes implementing a machine learning-based digital threat mitigation service over a distributed network of computers","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10491617","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-10491617","citation_suggestion":"Patentable. \"Systems and methods configuring a subscriber-specific ensemble of machine learning models\" (US-10491617). https://patentable.app/patents/US-10491617","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10491617","json":"https://patentable.app/api/llm-context/US-10491617","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:35:45.261Z"}