COMMUNICATION SYSTEM USING CONTEXT-DEPENDENT MACHINE LEARNING MODELS

摘要

A computer system reflects nuances in communications that are specific to each relationship between different pairs and groups of individuals by using a different context-dependent machine learning model associated with each relationship among the individuals. Each machine learning model is "context-dependent" by virtue of being applied to and trained based on data from the interactions within a specific relationship among a small number of users, such as between a pair of individuals, or between pairs of individuals within a group, with which the model is associated. While such models are thus individualized and relationship-specific, there generally is insufficient data available to train such models using conventional techniques. In some instances, such as in the context of a new relationship, there can be little or no data from prior interactions with which to train the model for that relationship. To address this problem, several techniques are applied in combination to gather more data and to continually train the models based that data.