Abstract: One or more computing devices, systems, and/or methods for generating a user-specific interface are provided. In an example, a user-specific machine learning model, for a user of an email application, may be trained based upon one or more interactions of the user with a device upon which the email application is installed. A determination may be made that an email message has been received by an email account of the user. A user-specific message interface may be generated based upon (i) the trained user-specific machine learning model and (ii) content of the email message. A notification of the email message may be provided for display on the device of the user. In response to the user selecting the notification of the email message, the user-specific interface may be provided for display on the device of the user.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific interface are provided. In an example, a user-specific machine learning model, for a user of an email application, may be trained based upon one or more interactions of the user with a device upon which the email application is installed. A determination may be made that an email message has been received by an email account of the user. A user-specific message interface may be generated based upon (i) the trained user-specific machine learning model and (ii) content of the email message. A notification of the email message may be provided for display on the device of the user. In response to the user selecting the notification of the email message, the user-specific interface may be provided for display on the device of the user.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific transaction interface are provided. In an example, a datastore of a user may be searched for an indication of a potential transaction. The datastore may include an email mailbox and/or a record of web browsing. In response to identifying the potential transaction, the datastore of the user, a partnership datastore and/or a network may be searched for an opportunity associated with the potential transaction. In response to identifying the opportunity associated with the potential transaction, a user-specific transaction interface may be generated. The user-specific transaction interface may include one or more selectable inputs for engaging in a version of the potential transaction. The user-specific transaction interface may be provided for display on a device of the user.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific interface are provided. In an example, a user-specific machine learning model, for a user of an email application, may be trained based upon one or more interactions of the user with a device upon which the email application is installed. A determination may be made that an email message has been received by an email account of the user. A user-specific message interface may be generated based upon (i) the trained user-specific machine learning model and (ii) content of the email message. A notification of the email message may be provided for display on the device of the user. In response to the user selecting the notification of the email message, the user-specific interface may be provided for display on the device of the user.