AUTOMATIC EMAIL REMINDER SYSTEM BASED ON MACHINE LEARNING

• US 20150200899A1
• Filed: 01/29/2013
• Published: 07/16/2015
• Est. Priority Date: 01/29/2013
• Status: Abandoned Application

• Current Assignee: Google Inc. (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: SANKETI, Pannag Raghunath
• Application Number:
  US13/753,219
• Publication Number:
  US 20150200899A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 51/224 providing notification on incoming messages, e.g. pushed notifications of received messages

Abstract

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.

Claims

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.

2. The system of claim 1 wherein at least one of the electronic mail importance factors is based on an electronic mail sender'"'"'s identity and the modeled specific user behavior for handling electronic mail from the sender.

3. The system of claim 1 wherein at least one of the electronic mail importance factors is based on an electronic mail subject and the modeled specific user behavior for handling electronic mail with the subject.

4. The system of claim 1 wherein at least one of the electronic mail importance factors is based on the number of emails received from a specific sender in a given time period and the modeled specific user behavior for handling electronic mail from the specific sender in a given time period.

5. The system of claim 1 wherein at least one electronic mail urgency factors is based on whether the electronic mail'"'"'s content includes a deadline and the modeled specific user behavior for handling electronic mail with a deadline.

6. The system of claim 1 wherein at least one of the electronic mail urgency factors is based on whether the sender has previously emailed regarding substantially the same subject and the modeled specific user behavior for handling electronic mail with substantially the same subject from the same sender.

7. The system of claim 1 wherein at least one of the electronic mail urgency factors is based on the amount of time between when an electronic mail was sent and the current date and/or time and the modeled specific user behavior for handling electronic mail based on an elapsed time.

8. The system of claim 1 wherein at least one of the electronic mail time-appropriate factors is based on a recipient'"'"'s current time of day and the modeled specific user behavior for handling electronic mail at the current time of day.

9. The system of claim 1 wherein at least one of the electronic mail time-appropriate factors is based on a recipient'"'"'s current location and the modeled specific user behavior for handling electronic mail at the current location.

10. The system of claim 1 wherein at least one of the electronic mail time-appropriate factors is based on a recipient'"'"'s current activities and the modeled specific user behavior for handling electronic mail at the current location.

11. A system for prioritizing 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 specific user 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 request to review electronic mail;

prioritize electronic mail using electronic mail importance factors based on modeled specific user behavior;

prioritize electronic mail based on urgency factors based on modeled specific user behavior and time-sensitivity; and

display prioritized electronic mail.

12. The system of claim 11 further comprising identifying electronic mail using time-appropriate factors before displaying prioritized electronic mail.

13. A computer-implemented method for generating reminders regarding electronic mail that is unread or to which a user has not yet responded comprising:

modeling specific user 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;

receiving a plurality of electronic mail;

identifying each electronic mail'"'"'s importance using electronic mail importance factors based on modeled specific user behavior;

identifying a relative urgency of electronic mail based on electronic mail urgency factors determined by modeled specific user behavior and time-sensitivity;

identifying an appropriate time for the user to respond to identified electronic mail using time-appropriate factors determined by modeled specific user behavior; and

suggesting that the user read or respond to identified electronic mail during the identified appropriate time.

14. The method of claim 13 wherein at least one of the electronic mail importance factors is based on an electronic mail sender'"'"'s identity and the modeled specific user behavior for handling electronic mail from the sender.

15. The method of claim 13 wherein at least one of the electronic mail importance factors is based on an electronic mail subject and the modeled specific user behavior for handling electronic mail with the subject.

16. The method of claim 13 wherein at least one of the electronic mail importance factors is based on the number of emails received from a specific sender in a given time period and the modeled specific user behavior for handling electronic mail from the specific sender in a given time period.

17. The method of claim 13 wherein at least one electronic mail urgency factors is based on whether the electronic mail'"'"'s content includes a deadline and the modeled specific user behavior for handling electronic mail with a deadline.

18. The method of claim 13 wherein at least one of the electronic mail urgency factors is based on whether the sender has previously emailed regarding substantially the same subject and the modeled specific user behavior for handling electronic mail with substantially the same subject from the same sender.

19. The method of claim 13 wherein at least one of the electronic mail urgency factors is based on the amount of time between when an electronic mail was sent and the current date and/or time and the modeled specific user behavior for handling electronic mail based on an elapsed time.

20. The method of claim 13 wherein at least one of the electronic mail time-appropriate factors is based on a recipient'"'"'s current time of day and the modeled specific user behavior for handling electronic mail at the current time of day.

21. The method of claim 13 wherein at least one of the electronic mail time-appropriate factors is based on a recipient'"'"'s current location and the modeled specific user behavior for handling electronic mail at the current location.

22. The method of claim 13 wherein at least one of the electronic mail time-appropriate factors is based on a recipient'"'"'s current activities and the modeled specific user behavior for handling electronic mail at the current location.