SYSTEMS AND METHODS FOR CONTENT DISTRIBUTION USING MACHINE LEARNING

SYSTEMS AND METHODS FOR CONTENT DISTRIBUTION USING MACHINE LEARNING

A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a campaign brief based on the prompt. The campaign...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Becigneul, Stephen, Dest, Lauren, Basetty, Suman, Puzenat, Elliot Axel Patrick, Kamath, Anil, Naware, Mihir, Tessier, Alexis, West, Rebecca Dorothy, Lenox, Kimberly K
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a campaign brief based on the prompt. The campaign brief includes an identification of a user segment, an identification of a communication channel, and a content element. The machine learning model is trained using training data including a plurality of campaign briefs. A user experience platform provides content corresponding to the content element to a user from the user segment via the communication channel based on the campaign brief.