MACHINE LEARNING OF INSIGHT COMMUNICATION SELECTION TO PROACTIVELY INCREASE USER ENGAGEMENT

摘要

A machine learning of insight communication selection in response to a triggering event in which event data specific to a user is provided to a machine to flexibly and proactively engage with the user through a device, such as any electronic device connected to a data network. In at least one embodiment, an insight selection engine improves insight communication selection to the triggering event by initially filtering a library of insight templates to identify candidate templates that best respond to the event data. In at least one embodiment, the insight selection engine includes an insight ranking module that ranks the identified candidate insight templates to provide an insight communication to the device two proactively engage the user with the system. The insight ranking module learns by receiving feedback, such as a linked recipient action result signal.