Resource management based on ranking of importance of applications

A terminal device, wherein the terminal device comprises a processor and a non-transitory memory, the non-transitory memory is configured to store computer readable instructions, and the processor is configured to read the computer readable instructions stored in the memory to implement:

• obtaining data, wherein the data comprises application sequence feature data related to a current foreground application, and the data further comprises at least one of the following real-time data:
• a current time of the computer system, current status data of the computer system, or current location data of the computer system;
• selecting, from a plurality of machine learning models based on at least one of the real-time data, a target machine learning model that matches the real-time data;
• inputting the obtained data into the target machine learning model to rank a plurality of applications installed in the computer system according to their importance;
• determining a quantity N of applications whose resources are to be protected, wherein a value of N meets the following condition:
• a ratio of a quantity of times of using N applications that are most frequently used in a past period of time to a sum of quantities of times of using all applications in the period of time is greater than a preset first threshold, and N is an integer greater than 0;
• and
• performing resource management based on N and the importance ranking.