{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11238473","patent":{"patent_number":"US-11238473","title":"Inferring consumer affinities based on shopping behaviors with unsupervised machine learning models","assignee":null,"inventors":[],"filing_date":"2019-08-06T00:00:00.000Z","publication_date":"2022-02-01T00:00:00.000Z","cpc_codes":["G06Q","G06Q","G06Q","H04W","G06Q"],"num_claims":36,"abstract":"Provided is a process of discovering psychographic segments of consumers with unsupervised machine learning, the process including: obtaining a first set of consumer-behavior records; converting the first set of consumer-behavior records into respective consumer-behavior vectors; determining psychographic segments of consumers by training an unsupervised machine learning model with the first set of consumer-behavior vectors; obtaining a second set of consumer-behavior records after determining the psychographic segments of consumers; converting the second set of consumer-behavior records into respective consumer-behavior vectors; classifying the second set of consumer-behavior vectors as each belonging to at least a respective one of psychographic segments with the trained machine learning model; and predicting based on the classification a likelihood of the respective consumer engaging in behavior associated with a corresponding one of the psychographic segments."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Inferring consumer affinities based on shopping behaviors with unsupervised machine learning models","description":"Provided is a process of discovering psychographic segments of consumers with unsupervised machine learning, the process including: obtaining a first set of consumer-behavior records; converting the f","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11238473","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-11238473","citation_suggestion":"Patentable. \"Inferring consumer affinities based on shopping behaviors with unsupervised machine learning models\" (US-11238473). https://patentable.app/patents/US-11238473","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11238473","json":"https://patentable.app/api/llm-context/US-11238473","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:36:22.460Z"}