{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9659248","patent":{"patent_number":"US-9659248","title":"Machine learning and training a computer-implemented neural network to retrieve semantically equivalent questions using hybrid in-memory representations","assignee":null,"inventors":[],"filing_date":"2016-01-19T00:00:00.000Z","publication_date":"2017-05-23T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N"],"num_claims":19,"abstract":"Determining semantically equivalent text or questions using hybrid representations based on neural network learning. Weighted bag-of-words and convolutional neural networks (CNN) based distributed vector representations of questions or text may be generated to compute the semantic similarity between questions or text. Weighted bag-of-words and CNN based distributed vector representations may be jointly used to compute the semantic similarity. A pair-wise ranking loss function trains neural network. In one embodiment, the parameters of the system are trained by minimizing a pair-wise ranking loss function over a training set using stochastic gradient descent (SGD)."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning and training a computer-implemented neural network to retrieve semantically equivalent questions using hybrid in-memory representations","description":"Determining semantically equivalent text or questions using hybrid representations based on neural network learning. Weighted bag-of-words and convolutional neural networks (CNN) based distributed vec","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9659248","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-9659248","citation_suggestion":"Patentable. \"Machine learning and training a computer-implemented neural network to retrieve semantically equivalent questions using hybrid in-memory representations\" (US-9659248). https://patentable.app/patents/US-9659248","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9659248","json":"https://patentable.app/api/llm-context/US-9659248","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:05:24.274Z"}