Abstract: In some aspects, the present embodiments provide a system, server, and computing device for building and modifying a user interface of an application executable on a computing device. The method may be performed by a server that is remote from the computing device. In some embodiments the method comprises: receiving parameters for updating a user interface element of the application, the user interface element being identified at the server by a programming language unit for the user interface element in the program code of the application; and sending the parameters to the computing device, wherein the computing device receives the parameters, updates the user interface element of the application with the parameters, and displays a modified user interface for the application, the modified user interface comprising the updated user interface element.

Abstract: A method and system for automatically determining a device-specific configuration for a software application operating on a user device. A configuration monitoring program monitors local user data stored on a user device and generates a device-specific prediction model using a machine learning algorithm applied to the monitored local data. The configuration monitoring program also receives a global prediction model generated remotely using global user data collected from a plurality of user devices. The configuration monitoring program generates a predicted device-specific configuration of the application operating on the user device using prediction data from both the device-specific prediction model and the global prediction model and updates the configuration of the given application using the predicted device-specific configuration.

Abstract: A method and system for automatically determining a device-specific configuration for a software application operating on a user device. A configuration monitoring program monitors local user data stored on a user device and generates a device-specific prediction model using a machine learning algorithm applied to the monitored local data. The configuration monitoring program also receives a global prediction model generated remotely using global user data collected from a plurality of user devices. The configuration monitoring program generates a predicted device-specific configuration of the application operating on the user device using prediction data from both the device-specific prediction model and the global prediction model and updates the configuration of the given application using the predicted device-specific configuration.

Abstract: In some aspects, the present embodiments provide a system, server, and computing device for building and modifying a user interface of an application executable on a computing device. The method may be performed by a server that is remote from the computing device. In some embodiments the method comprises: receiving parameters for updating a user interface element of the application, the user interface element being identified at the server by a programming language unit for the user interface element in the program code of the application; and sending the parameters to the computing device, wherein the computing device receives the parameters, updates the user interface element of the application with the parameters, and displays a modified user interface for the application, the modified user interface comprising the updated user interface element.

Abstract: A method and system for automatically determining a device-specific configuration for a software application operating on a user device. A configuration monitoring program monitors local user data stored on a user device and generates a device-specific prediction model using a machine learning algorithm applied to the monitored local data. The configuration monitoring program also receives a global prediction model generated remotely using global user data collected from a plurality of user devices. The configuration monitoring program generates a predicted device-specific configuration of the application operating on the user device using prediction data from both the device-specific prediction model and the global prediction model and updates the configuration of the given application using the predicted device-specific configuration.

Abstract: In some aspects, the present embodiments provide a system, server, and computing device for building and modifying a user interface of an application executable on a computing device. The method may be performed by a server that is remote from the computing device. In some embodiments the method comprises: receiving parameters for updating a user interface element of the application, the user interface element being identified at the server by a programming language unit for the user interface element in the program code of the application; and sending the parameters to the computing device, wherein the computing device receives the parameters, updates the user interface element of the application with the parameters, and displays a modified user interface for the application, the modified user interface comprising the updated user interface element.

Abstract: In some aspects, the present embodiments provide a system, server, and computing device for building and modifying a user interface of an application executable on a computing device. The method may be performed by a server that is remote from the computing device. In some embodiments the method comprises: receiving parameters for updating a user interface element of the application, the user interface element being identified at the server by a programming language unit for the user interface element in the program code of the application; and sending the parameters to the computing device, wherein the computing device receives the parameters, updates the user interface element of the application with the parameters, and displays a modified user interface for the application, the modified user interface comprising the updated user interface element.