On-device generation and personalization of zero prefix suggestions and use thereof

Embodiments described herein relate to generating, locally at a client device, corresponding subset (s) of zero-prefix suggestions for a user of the client device and suggestion state (s) associated with the client device, and then causing the client device to utilize the corresponding subset (s) of zero-prefix suggestions. The superset of suggestion state (s) and candidate zero prefix suggestions is processed using machine learning model (s) to generate corresponding scores for each of the candidate zero prefix suggestions and with respect to the suggestion state (s). Further, zero prefix suggestions can be selected based on the corresponding scores for inclusion in the corresponding subset (s) of zero prefix suggestions and for suggestion state (s). Thus, when a given suggestion state is subsequently detected at the client device, a given corresponding subset of zero prefix suggestions stored in association with the given suggestion state can be obtained and provided for presentation to the user. 本文中所描述的实施方