{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11975862","patent":{"patent_number":"US-11975862","title":"Database query processing for hardware component identification using multi-ordered machine learning models","assignee":null,"inventors":[],"filing_date":"2021-03-25T00:00:00.000Z","publication_date":"2024-05-07T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N"],"num_claims":18,"abstract":"A device receives a data query from a source, the data query associated with a hardware component. The device determines a likelihood that an aircraft of an aircraft entity associated with the data query will require the hardware component by retrieving a plurality of signals received from the aircraft entity that are associated with the hardware component, applying the plurality of signals to a first machine-learned model, and receiving, as output from the first machine-learned model, a likelihood that the aircraft will require the hardware component. The device inputs the likelihood into a second machine-learned model, and receives as output a score corresponding to the data query. The device assigns a rank to the data query based on its score as compared to scores of other data queries of a plurality of data queries, and displays an ordered list of the plurality of data queries."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Database query processing for hardware component identification using multi-ordered machine learning models","description":"A device receives a data query from a source, the data query associated with a hardware component. The device determines a likelihood that an aircraft of an aircraft entity associated with the data qu","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11975862","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-11975862","citation_suggestion":"Patentable. \"Database query processing for hardware component identification using multi-ordered machine learning models\" (US-11975862). https://patentable.app/patents/US-11975862","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11975862","json":"https://patentable.app/api/llm-context/US-11975862","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:45:10.616Z"}