Abstract: Disclosed are an apparatus and control method for recommending an application based on a recognized situation of a user of an electronic device by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a driving method thereof. The apparatus control method according to an embodiment of the present disclosure includes applying context information including at least one of environmental information collected through a sensor of the electronic device or a network, or usage information generated by the use of the electronic device to a machine learning based first learning model in response to a user input, and displaying, on a display, a first shortcut related to an application determined on the basis of a result of applying the context information to the first learning model and displaying, on the display, a second shortcut related to a preset application.

Abstract: Presented are an apparatus and a control method, which execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm and recommend a do-not-disturb mode based on a context recognized by an electronic equipment user in a 5G environment connected for the Internet of Things (IoT). An apparatus control method includes collecting user context information including time information and place information from at least one of data stored in a sensor, a communication module, or a memory of an electronic equipment, determining the recommendation of a do-not-disturb mode by applying the user context information to a learning engine, and displaying, on a display, a user interface capable of setting the do-not-disturb mode based on the determination of the recommendation of the do-not-disturb mode.

Abstract: Disclosed are an apparatus and control method for recommending an application based on a recognized situation of a user of an electronic device by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a driving method thereof. The apparatus control method according to an embodiment of the present disclosure includes applying context information including at least one of environmental information collected through a sensor of the electronic device or a network, or usage information generated by the use of the electronic device to a machine learning based first learning model in response to a user input, and displaying, on a display, a first shortcut related to an application determined on the basis of a result of applying the context information to the first learning model and displaying, on the display, a second shortcut related to a preset application.