VMware, Inc.
AUTOMATIC SCHEDULING OF ACTIONABLE EMAILS

Abstract:

Examples described herein include systems and methods for scheduling tasks based on emails intended for a user. An email application, agent, or server can identify a task by parsing an unread email intended for a user. Then a machine learning model specific to that user can be applied to the task and task list information including at least one open time slot. The machine learning model can be previously trained based on timing of prior tasks performed by the user. Based on an output from the model, the task can be scheduled at a first time within the time slot and displayed in a task list on a user device. When the user completes the task, the machine learning model can be updated based on a second time in which the task is completed relative to the first time.