{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11288573","patent":{"patent_number":"US-11288573","title":"Method and system for training and neural network models for large number of discrete features for information rertieval","assignee":null,"inventors":[],"filing_date":"2016-05-05T00:00:00.000Z","publication_date":"2022-03-29T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N"],"num_claims":21,"abstract":"According to one embodiment, a first set of features is received, where each of the features in the first set being associated with a predetermined category. A bloom filter is applied to the first set of features to generate a second set of features. A neural network model is trained by applying the second set of features to a first layer of nodes of the neural network model to generate an output, the neural network model including a plurality of layers of nodes coupled to each other via a connection. The output of the neural network model is compared with a target value associated with the predetermined category to determine whether the neural network model satisfies a predetermined condition."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method and system for training and neural network models for large number of discrete features for information rertieval","description":"According to one embodiment, a first set of features is received, where each of the features in the first set being associated with a predetermined category. A bloom filter is applied to the first set","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11288573","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-11288573","citation_suggestion":"Patentable. \"Method and system for training and neural network models for large number of discrete features for information rertieval\" (US-11288573). https://patentable.app/patents/US-11288573","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11288573","json":"https://patentable.app/api/llm-context/US-11288573","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:04:29.472Z"}