{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11995665","patent":{"patent_number":"US-11995665","title":"Reducing sample selection bias in a machine learning-based recommender system","assignee":null,"inventors":[],"filing_date":"2022-01-31T00:00:00.000Z","publication_date":"2024-05-28T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06N","G06Q","G06Q","G06Q","G06Q"],"num_claims":20,"abstract":"The present disclosure relates to improving recommendations for small shops on an ecommerce platform while maintaining accuracy for larger shops. The improvement is achieved by retraining a machine-learning recommendation model to reduce sample selection bias using a meta-learning process. The retraining process comprises identifying a sample subset of shops on the ecommerce platform, and then creating shop-specific versions of the recommendation model for each of the shops in the subset. A global parameter adjustment is calculated for the global model based on minimizing losses associated with the shop-specific models and increasing the probability of items being recommended from small shops. The latter is achieved by introducing regularizer terms for small shops during the meta-learning process. The regularizer terms serve to increase the probability that an item from a small shop will be recommended, thereby countering the sample selection bias faced by small-shop items."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Reducing sample selection bias in a machine learning-based recommender system","description":"The present disclosure relates to improving recommendations for small shops on an ecommerce platform while maintaining accuracy for larger shops. The improvement is achieved by retraining a machine-le","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11995665","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-11995665","citation_suggestion":"Patentable. \"Reducing sample selection bias in a machine learning-based recommender system\" (US-11995665). https://patentable.app/patents/US-11995665","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11995665","json":"https://patentable.app/api/llm-context/US-11995665","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:20:29.679Z"}