{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11501107","patent":{"patent_number":"US-11501107","title":"Key-value memory network for predicting time-series metrics of target entities","assignee":null,"inventors":[],"filing_date":"2020-05-07T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["G06Q","G06F","G06F","G06N","G06N","G06N","G06F","G11C"],"num_claims":20,"abstract":"This disclosure involves using key-value memory networks to predict time-series data. For instance, a computing system retrieves, for a target entity, static feature data and target time-series feature data. The computing system can normalize the target time-series feature data based on a normalization scale. The computing system also generates input data by, for example, concatenating the static feature data, the normalized time-series feature data, and time-specific feature data. The computing system generates predicted time-series data for the target metric of the target entity by applying a key-value memory network to the input data. The key-value memory network can include a key matrix learned from training static feature data and training time-series feature data, a value matrix representing time-series trends, and an output layer with a continuous activation function for generating predicted time-series data."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Key-value memory network for predicting time-series metrics of target entities","description":"This disclosure involves using key-value memory networks to predict time-series data. For instance, a computing system retrieves, for a target entity, static feature data and target time-series featur","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11501107","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-11501107","citation_suggestion":"Patentable. \"Key-value memory network for predicting time-series metrics of target entities\" (US-11501107). https://patentable.app/patents/US-11501107","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11501107","json":"https://patentable.app/api/llm-context/US-11501107","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:23:29.426Z"}