{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11521221","patent":{"patent_number":"US-11521221","title":"Predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks","assignee":null,"inventors":[],"filing_date":"2018-03-01T00:00:00.000Z","publication_date":"2022-12-06T00:00:00.000Z","cpc_codes":["G06Q","G06F","G06N","G06N","G06N"],"num_claims":20,"abstract":"This disclosure involves predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks. For example, a method includes a processing device performing operations including accessing input data for an entity and transforming the input data into a dense vector entity representation representing the entity. Transforming the input data includes applying, to the input data, a neural network including simultaneously trained propensity models. Each propensity model predicts a different task based on the input data. Transforming the input data also includes extracting the dense vector entity representation from a common layer of the neural network to which the propensity models are connected. The operations performed by the processing device include computing a predicted behavior by applying a predictive model to the dense vector entity representation and transmitting the predicted behavior to a computing device that customizes a presentation of electronic content at a remote user device."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks","description":"This disclosure involves predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks. For example, a method includes a processing devic","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11521221","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-11521221","citation_suggestion":"Patentable. \"Predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks\" (US-11521221). https://patentable.app/patents/US-11521221","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11521221","json":"https://patentable.app/api/llm-context/US-11521221","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:57:55.632Z"}