Smart messaging for computer-implemented devices
Abstract:
Various computer-implemented systems and methods are provided here for purposes of smart messaging. A machine learning application can obtain message context data from a user device, and process the message context data to determine a predicted conversation pattern of the conversation that is taking place between the particular users. The message context data is indicative of context of a conversation taking place between particular users during a messaging session. Based on the predicted conversation pattern, the machine learning application can then determine options for suggested responses that are predicted to compete at least part of a response message as part of the conversation. Each of the options for suggested responses corresponds to the message context data indicative of the context of the conversation. In response to selection of one of the suggested responses, that suggested response can be displayed within a message field.
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