{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11238095","patent":{"patent_number":"US-11238095","title":"Determining relatedness of data using graphs to support machine learning, natural language parsing, search engine, or other functions","assignee":null,"inventors":[],"filing_date":"2018-09-19T00:00:00.000Z","publication_date":"2022-02-01T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F"],"num_claims":25,"abstract":"An apparatus includes at least one processor configured to obtain a graph having vertices that represent items and edges that represent relationships between the items. The at least one processor is also configured to identify pairwise relatedness values associated with pairs of vertices. Each pairwise relatedness value is determined as a measure of diffusion on a space in the graph with a first vertex acting as a diffusion source and a boundary acting as a diffusion sink such that a diffusion density at a second vertex defines the pairwise relatedness value associated with the first and second vertices. The at least one processor is further configured to use the pairwise relatedness values as a measure of how the items associated with the pairs of vertices in the graph are related to one another. A boundary condition defines the boundary on the space in the graph around the diffusion source."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Determining relatedness of data using graphs to support machine learning, natural language parsing, search engine, or other functions","description":"An apparatus includes at least one processor configured to obtain a graph having vertices that represent items and edges that represent relationships between the items. The at least one processor is a","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11238095","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-11238095","citation_suggestion":"Patentable. \"Determining relatedness of data using graphs to support machine learning, natural language parsing, search engine, or other functions\" (US-11238095). https://patentable.app/patents/US-11238095","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11238095","json":"https://patentable.app/api/llm-context/US-11238095","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:22:01.901Z"}