To provide a context recognition conversation type agent based on a journaling model.SOLUTION: Embodiments target at a system and method for a context recognition conversation type agent for self-learning. In one embodiment, the method includes generation of a journaling model based on activity data and engagement data associated with one or more tasks of a user. The journaling model uses machine-learning to identify a context pattern using the activity data, and maps a performance associated with the one or more tasks based on at least the engagement data. The present method adaptively provides a prompt to gather additional engagement data based on the context pattern in view of real-time activity data, in which the prompt is generated based on the journaling model. The journaling model is updated based on the additional engagement data.SELECTED DRAWING: Figure 3
SYSTEM AND METHOD FOR CONTEXT RECOGNITION CONVERSATION TYPE AGENT BASED ON MACHINE LEARNING, METHOD, SYSTEM AND PROGRAM OF CONTEXT RECOGNITION JOURNALING METHOD, AS WELL AS COMPUTER DEVICE