GENERATIVE MACHINE LEARNING MODEL FOR PERSONALIZED KNOWLEDGE SESSION CONTENT

Abstract: a method, computer system, and computer program product are provided for generating personalized knowledge session content using a generative machine learning model. user profile data of a plurality of users and service description data that is descriptive of a service are processed to assign the plurality of users to a plurality of user groups. a personalized message is generated for each user group based on the user profile data and the service description data, wherein the personalized message is generated using one or more machine learning models. each personalized message is provided to each user group and feedback data is collected based on the providing of each personalized message. based on analyzing of the feedback data, one or more of: the user profile data, the one or more machine learning models, and the service description data are updated.

Inventor(s): Qixu Gong, Benjamin L. Chang, Qihong Shao, David C. White, JR.

CPC Classification: H04L51/02 (using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages)

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