Electronic device preparing setting datasets by inputting specific data to trained machine learning model

An electronic device comprising:

• a user interface;
• a communication interface;
• a memory;
• and
• a controller,
• wherein the controller is configured to perform:
• receiving first input data and second input data through the user interface, the first input data being in a first format interpretable by a trained machine learning model running on a server, the first input data specifying an element relationship among a plurality of elements, the plurality of elements including one or more first subjects and one or more second subjects, the second input data being in a second format interpretable by the trained machine learning model, the second input data specifying a first condition for one or more settings for the one or more first subjects;
• inputting, to the trained machine learning model through the communication interface, the first input data, the second input data, and specific data, wherein the specific data is data instructing the trained machine learning model to return output data satisfying a second condition, the second condition including:
• a requirement that the output data is in a third format interpretable by the controller;
• a requirement that the output data includes one or more recommended setting datasets based on both the first input data and the second input data, and includes a subject-setting relationship based on both the first input data and the second input data;
• and a requirement that the subject-setting relationship indicates that each of the one or more second subjects corresponds to one of the one or more recommended setting datasets;
• storing, when the output data is received in response to performing the inputting, the one or more recommended setting datasets in the memory as one or more setting datasets so that each of the one or more second subjects is associated with a corresponding one of the one or more recommended setting datasets based on the subject-setting relationship included in the output data;
• and
• processing for each of the one or more second subjects in accordance with a corresponding setting dataset associated with the each of the one or more second subjects among the one or more setting datasets stored in the memory.