CPC H04L 51/42 (2022.05) [G06F 3/0481 (2013.01); G06F 3/0483 (2013.01); G06N 20/00 (2019.01); H04L 51/07 (2022.05); G06F 3/048 (2013.01); H04M 1/72436 (2021.01); H04M 1/72484 (2021.01)] | 20 Claims |
1. A method, comprising:
training a user-specific machine learning model, for a user of an email application, based upon one or more interactions of the user with a device upon which the email application is installed;
determining that an email message has been received by an email account of the user;
generating a user-specific message interface based upon (i) the trained user-specific machine learning model trained based upon the one or more interactions of the user and (ii) content of the email message, wherein the generating the user-specific message interface comprises:
determining, based upon the trained user-specific machine learning model, a user interest associated with the content of the email message; and
identifying, for use in generation of the user-specific message interface, a tab of the email application from among a plurality of tabs including a first tab of the email application and a second tab of the email application, wherein the tab is identified using the user interest determined based upon the trained user-specific machine learning model;
providing, for display on the device of the user, a notification of the email message; and
responsive to the user selecting the notification of the email message, providing the user-specific message interface, comprising the identified tab, for display on the device of the user.
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