{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11985571","patent":{"patent_number":"US-11985571","title":"Predicting user interaction with communications","assignee":null,"inventors":[],"filing_date":"2021-09-29T00:00:00.000Z","publication_date":"2024-05-14T00:00:00.000Z","cpc_codes":["H04L","H04W","G06F","G06N","G06N","G06N","G06N","G06N","G06N","G06Q","G06Q","G06Q","G06Q","G06Q","G06Q","G06Q","G06Q","G06Q","H04W"],"num_claims":20,"abstract":"A machine learning model may be trained using annotated communications data. Each communication (e.g., a short messaging system (SMS) message or email) is annotated with a measure of user interaction. The machine learning model is thus trained to predict a measure of user interaction for future communications. Before sending future communications, at least a portion of the communication is provided to the trained machine learning model to predict the expected measure of user interaction with the communication. In response to the prediction, the sender of the communication may alter the communication. The system may automatically send the communication if the predicted measure of user interaction exceeds a predetermined threshold and only prompt the user if the predicted measure of user interaction does not exceed the predetermined threshold."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting user interaction with communications","description":"A machine learning model may be trained using annotated communications data. Each communication (e.g., a short messaging system (SMS) message or email) is annotated with a measure of user interaction.","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11985571","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-11985571","citation_suggestion":"Patentable. \"Predicting user interaction with communications\" (US-11985571). https://patentable.app/patents/US-11985571","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11985571","json":"https://patentable.app/api/llm-context/US-11985571","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T00:11:56.691Z"}