AUTOMATIC EMAIL REMINDER SYSTEM BASED ON MACHINE LEARNING

摘要

Systems and methods which can determine email importance for a user, determine the urgency of a response to a given email, and suggest that the user review important and/or time-sensitive email at appropriate and convenient times for the user are provided. A user may also request a prioritized list of emails. Several factors are used to determine which email should be presented to a user. Email importance factors identify emails which are important to a user and email urgency factors identify emails which should be given more immediate attention. Additionally, time-appropriate factors are used to determine the appropriate time to present identified emails to the user.

主权项

1. A system generating reminders regarding electronic mail that is unread or to which a user has not yet responded, the system comprising:
one or more processing devices; and one or more storage devices storing instructions that, when executed by the one or more processing devices, cause the one or more processing devices to: model a specific user's behavior based on the user's interaction with electronic mail and either the user's search history or the user's social signals using machine learning; receive a plurality of electronic mail; identify each electronic mail's importance using electronic mail importance factors based on the modeled specific user behavior; identify a relative urgency of electronic mail based on electronic mail urgency factors determined by the modeled specific user behavior and time-sensitivity; identify an appropriate time for the user to respond to identified electronic mail using time-appropriate factors determined by the modeled specific user behavior; and suggest that the user read or respond to identified electronic mail during the identified appropriate time.