{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-8510238","patent":{"patent_number":"US-8510238","title":"Method to predict session duration on mobile devices using native machine learning","assignee":null,"inventors":[],"filing_date":"2012-08-14T00:00:00.000Z","publication_date":"2013-08-13T00:00:00.000Z","cpc_codes":["G06N","H04W","H04W"],"num_claims":17,"abstract":"Methods and apparatus for predicting time spans for mobile platform activation are presented. A machine-learning service executing on a mobile platform receives feature-related data. The feature-related data includes usage-related data about time spans that the mobile platform is activated and platform-related data received from the mobile platform. The usage-related data and the platform-related data can differ. The machine-learning service determines whether the machine-learning service is trained to perform machine-learning operations related to predicting a time span that the mobile platform will be activated. In response to determining that the machine-learning service is trained, the machine-learning service: receives a request for a predicted time span that the mobile platform will be activated, determines the predicted time span by the machine-learning service performing a machine-learning operation on the feature-related data, and sends the predicted time span."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method to predict session duration on mobile devices using native machine learning","description":"Methods and apparatus for predicting time spans for mobile platform activation are presented. A machine-learning service executing on a mobile platform receives feature-related data. The feature-relat","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-8510238","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-8510238","citation_suggestion":"Patentable. \"Method to predict session duration on mobile devices using native machine learning\" (US-8510238). https://patentable.app/patents/US-8510238","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-8510238","json":"https://patentable.app/api/llm-context/US-8510238","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T19:08:10.570Z"}