{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11494701","patent":{"patent_number":"US-11494701","title":"Adversarial user representations in recommender machine learning models","assignee":null,"inventors":[],"filing_date":"2018-11-29T00:00:00.000Z","publication_date":"2022-11-08T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06F","G06N","G06Q","G06N","G06N"],"num_claims":20,"abstract":"A method includes generating recommendations and user structures by applying a recommender machine learning model to training user information and item information, and generating, from the user structures and by applying a demographic machine learning model, demographic predictions of users represented by the user structures. The method further includes generating a first accuracy measure of the demographic machine learning model based on a first comparison of the demographic predictions with demographics of the users. A recommender loss function is generated based on the first accuracy measure and a second comparison of the recommendations with selections of users, where the recommender loss function uses the first accuracy measure to suppress detectability by the demographic machine learning model. The method further includes updating the recommender machine learning model according to the recommender loss function."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Adversarial user representations in recommender machine learning models","description":"A method includes generating recommendations and user structures by applying a recommender machine learning model to training user information and item information, and generating, from the user struc","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11494701","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-11494701","citation_suggestion":"Patentable. \"Adversarial user representations in recommender machine learning models\" (US-11494701). https://patentable.app/patents/US-11494701","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11494701","json":"https://patentable.app/api/llm-context/US-11494701","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:06:02.737Z"}