{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12008065","patent":{"patent_number":"US-12008065","title":"Utilizing machine-learning models to generate identifier embeddings and determine digital connections between digital content items","assignee":null,"inventors":[],"filing_date":"2023-01-12T00:00:00.000Z","publication_date":"2024-06-11T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine learning models to generate identifier embeddings from digital content identifiers and then leverage these identifier embeddings to determine digital connections between digital content items. In particular, the disclosed systems can utilize an embedding machine-learning model that comprises a character-level embedding machine-learning model and a word-level embedding machine-learning model. For example, the disclosed systems can combine a character embedding from the character-level embedding machine-learning model and a token embedding from the word-level embedding machine-learning model. The disclosed systems can determine digital connections between the plurality of digital content items by processing these identifier embeddings for a plurality of digital content items utilizing a content management model. Based on the digital connections, the disclosed systems can surface one or more digital content suggestions to a user interface of a client device."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Utilizing machine-learning models to generate identifier embeddings and determine digital connections between digital content items","description":"The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine learning models to generate identifier embeddings from digital content identifiers a","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12008065","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-12008065","citation_suggestion":"Patentable. \"Utilizing machine-learning models to generate identifier embeddings and determine digital connections between digital content items\" (US-12008065). https://patentable.app/patents/US-12008065","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12008065","json":"https://patentable.app/api/llm-context/US-12008065","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:23:10.459Z"}