{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11520641","patent":{"patent_number":"US-11520641","title":"Model to recommend impacted systems","assignee":null,"inventors":[],"filing_date":"2021-10-13T00:00:00.000Z","publication_date":"2022-12-06T00:00:00.000Z","cpc_codes":["G06F","G06Q","G06Q"],"num_claims":20,"abstract":"Systems and methods for determining the impact of a modification made to an API is provided. The system may include an association rule learning subsystem and a recommender subsystem. The association rule learning subsystem may receive input from an API, a metadata processor and a plurality of production logs. The API may include a plurality of API elements. The association rule learning subsystem may link each API element with one or more data elements retrieved by the metadata processors based on data retrieved from the plurality of production logs. The association rule learning subsystem may create and output a tree of API elements and linked data elements. A recommender subsystem may receive the tree. The recommender subsystem may prioritize the data elements included in the tree based on data element severity, data element frequency and data element complexity. The recommender subsystem may select a prioritized subset of the data elements."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Model to recommend impacted systems","description":"Systems and methods for determining the impact of a modification made to an API is provided. The system may include an association rule learning subsystem and a recommender subsystem. The association ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11520641","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-11520641","citation_suggestion":"Patentable. \"Model to recommend impacted systems\" (US-11520641). https://patentable.app/patents/US-11520641","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11520641","json":"https://patentable.app/api/llm-context/US-11520641","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:06:48.357Z"}