{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12008598","patent":{"patent_number":"US-12008598","title":"Adaptive optimization of a content item using continuously trained machine learning models","assignee":null,"inventors":[],"filing_date":"2022-08-16T00:00:00.000Z","publication_date":"2024-06-11T00:00:00.000Z","cpc_codes":["G06Q","G06N"],"num_claims":26,"abstract":"A processor receives requests for content items and identifies a first subset of machine learning (ML) models that satisfy a reliability criterion and a second subset of ML models that fail to satisfy the reliability criterion, wherein each ML model is associated with a respective content template and is trained to output a probability that a target associated with an input set of characteristics would perform a target action responsive to being presented with a content item generated based on the respective associated content template. The processing logic assigns each request to either a first group or a second group based on a ratio of a number of ML models in the first subset to a number of ML models in the second subset. For each request in the first group, the processor generates a content item based on a content template associated with the first subset."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Adaptive optimization of a content item using continuously trained machine learning models","description":"A processor receives requests for content items and identifies a first subset of machine learning (ML) models that satisfy a reliability criterion and a second subset of ML models that fail to satisfy","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12008598","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-12008598","citation_suggestion":"Patentable. \"Adaptive optimization of a content item using continuously trained machine learning models\" (US-12008598). https://patentable.app/patents/US-12008598","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12008598","json":"https://patentable.app/api/llm-context/US-12008598","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:35:59.214Z"}