{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10515317","patent":{"patent_number":"US-10515317","title":"Machine learning algorithm for user engagement based on confidential data statistical information","assignee":null,"inventors":[],"filing_date":"2016-07-29T00:00:00.000Z","publication_date":"2019-12-24T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06Q","G06Q"],"num_claims":20,"abstract":"In an example embodiment, a machine learning algorithm is used to train an engagement score model to calculate an engagement score for a particular member indicating a probability that the particular member would increase engagement with the social networking service if provided with statistical information about confidential data submitted by other members. Member usage information is obtained corresponding to a first member of a social networking service. Then a plurality of features are extracted from the member usage information corresponding to the first member. This plurality of features is inputted into the engagement model to obtain an engagement score for the first member. It is then determined whether or not to provide statistical information to the first member about confidential data submitted by other members based on the engagement score for the first member."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning algorithm for user engagement based on confidential data statistical information","description":"In an example embodiment, a machine learning algorithm is used to train an engagement score model to calculate an engagement score for a particular member indicating a probability that the particular ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10515317","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-10515317","citation_suggestion":"Patentable. \"Machine learning algorithm for user engagement based on confidential data statistical information\" (US-10515317). https://patentable.app/patents/US-10515317","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10515317","json":"https://patentable.app/api/llm-context/US-10515317","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:58:32.808Z"}