Natural language processor for cognitively generating contextual filler designed to keep users engaged
Abstract:
A computer-implemented method includes detecting, using a processor system, a first delay in a conversation system. Initial contextual data is received at a first orchestration layer of the processor system, where the initial contextual data describes a context of a user. The first orchestration layer queries a first data source, based on the initial contextual data. Based on querying the first data source, the first orchestration layer augments the initial contextual data to determine updated contextual data describing the context of the user. Filler content personalized to the user is generated based on the updated contextual data describing the context of the user. The filler content is presented through a user interface during the first delay, responsive to detecting the first delay in the conversation system.
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