Method and device for recommending content to browser of terminal device and method and device for displaying content on browser of terminal device

A device for recommending content to a browser of a terminal device, comprising:

• a processor;
• and
• a memory storing computer-readable instructions that, when executed by the processor, cause the processor to recommend, to the browser, a first quantity X of popular content of a geographical area to which the terminal device currently belongs, a second quantity Y of content related to a historical user behavior of a user of the browser, and a third quantity Z of content related to a user numerical score of the browser, wherein:
• X=CTR1/(CTR1+CTR2+CTR3)*B,
• Y=CTR2/(CTR1+CTR2+CTR3)*B,
• Z=CTR3/(CTR1+CTR2+CTR3)*B,
• CTR1 is a ratio of a click quantity to a recommendation quantity of the popular content of the user,
• CTR2 is a ratio of a click quantity to a recommendation quantity of the content related to the historical user behavior of the user,
• CTR3 is a ratio of a click quantity to a recommendation quantity of the content related to the user numerical score of the user, and
• B is a total display quantity of the recommended content of the terminal device.

A non-transitory storage medium, comprising instructions stored therein, wherein the instructions, when executed by one or more processors, cause the one or more processors to perform a method comprising:

• recommending, to the browser, a first quantity X of popular content of a geographical area to which the terminal device currently belongs, a second quantity Y of content related to a historical user behavior of a user of the browser, and a third quantity Z of content related to a user numerical score of the browser, wherein:
• X=CTR1/(CTR1+CTR2+CTR3)*B,
• Y=CTR2/(CTR1+CTR2+CTR3)*B,
• Z=CTR3/(CTR1+CTR2+CTR3)*B,
• CTR1 is a ratio of a click quantity to a recommendation quantity of the popular content of the user,
• CTR2 is a ratio of a click quantity to a recommendation quantity of the content related to the historical user behavior of the user,
• CTR3 is a ratio of a click quantity to a recommendation quantity of the content related to the user numerical score of the user, and
• B is a total display quantity of the recommended content of the terminal device.