{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11501213","patent":{"patent_number":"US-11501213","title":"Predictive, machine-learning, locale-aware computer models suitable for location- and trajectory-aware training sets","assignee":null,"inventors":[],"filing_date":"2020-05-06T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["G06N","G06F","G06N","G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":24,"abstract":"Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given geographic locale in the future; and storing the training the trained predictive machine learning model in memory."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predictive, machine-learning, locale-aware computer models suitable for location- and trajectory-aware training sets","description":"Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the e","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11501213","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-11501213","citation_suggestion":"Patentable. \"Predictive, machine-learning, locale-aware computer models suitable for location- and trajectory-aware training sets\" (US-11501213). https://patentable.app/patents/US-11501213","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11501213","json":"https://patentable.app/api/llm-context/US-11501213","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T10:17:51.909Z"}