Method and electronic device for machine learning based prediction of subsequent user interface layouts

An electronic device for Machine Learning (ML) based prediction of at least one subsequent User Interface (UI) layout, the electronic device comprising of:

• a memory;
• and
• a processor, coupled to the memory, configured to:
• detect a first transition event
• identify a UI layout associated with a first application of the electronic device;
• predict the at least one subsequent UI layout to be displayed based on at least one transition parameter, wherein the at least one subsequent UI layout is associated with at least one of the first application and at least one second application;
• and
• load the at least one subsequent UI layout in the memory of the electronic device.

A method comprising:

• storing information regarding a user's sequence of user interface (UI) transition events;
• performing Machine Learning (ML) based on the stored information regarding the user's sequence of UI transition events;
• performing ML based prediction that includes predicting at least one subsequent User Interface (UI) transition event, from among the user's sequence of UI transition events, based on the ML;
• identifying at least one subsequent UI layout element that corresponds to the predicted at least one subsequent UI transition event;
• and
• starting loading, by an electronic device, of the at least one predicted subsequent UI layout element that corresponds to the at least one predicted subsequent UI transition event, prior to the at least one predicted subsequent UI transition event occurring in a same session.