A simple calling method comprises setting and registering into a hot key storage a hot key corresponding to contact numbers of a called terminal; inputting a certain key and a calling trigger key on a key input interface of a calling terminal; determining whether the inputted certain key matches the hot key registered in the hot key storage; upon determination that the inputted certain key matches the hot key, converting the inputted hot key to the contact numbers of the called terminal; and processing the converted contact numbers for calling and sending a request signal to the called terminal to request a call connection with the called terminal.

A smart dialing recommendation method, a non-transitory computer-readable medium, and a mobile device are disclosed. The smart dialing recommendation method includes: establishing a database according to a correspondence between a plurality of different time intervals in a past time range and a plurality of communication numbers by using a machine learning algorithm; obtaining a time stamp; and determining whether the time stamp has expired. When it is determined that the time stamp has not expired, according to the correspondence in the database and a current time point, a recommended number corresponding to the current time point is retrieved from the plurality of communication numbers. When it is determined that the time stamp has expired, the machine learning algorithm is performed again to update the plurality of communication numbers.

A smart dialing recommendation method, a non-transitory computer-readable medium, and a mobile device are disclosed. The smart dialing recommendation method includes: establishing a database according to a correspondence between a plurality of different time intervals in a past time range and a plurality of communication numbers by using a machine learning algorithm; obtaining a time stamp; and determining whether the time stamp has expired. When it is determined that the time stamp has not expired, according to the correspondence in the database and a current time point, a recommended number corresponding to the current time point is retrieved from the plurality of communication numbers. When it is determined that the time stamp has expired, the machine learning algorithm is performed again to update the plurality of communication numbers.