Content screening method and device

A computing system, wherein the computing system comprises a memory, a processor, and computer-readable instructions that are stored in the memory and executable by the processor, and wherein when the processor executes the computer-readable instructions, the processor implements operations comprising:

• obtaining a content set to be screened, wherein the content set comprises a plurality of to-be-screened contents, wherein each to-be-screened content is associated with identification information, at least one tag indicative of at least one category, and a score, and wherein the plurality of to-be-screened contents are ranked based on their respective scores in the content set in advance;
• computing a distribution quota value of each category indicated by a corresponding tag and associated with the plurality of to-be-screened contents in the content set based on the at least one category associated with each to-be-screened content and a weight value corresponding to the at least one category associated with each to-be-screened content;
• computing a target distribution quota value of each category indicated by a corresponding tag based on the distribution quota value of each category and a preset tag distribution quota adjustment function;
• sequentially selecting target contents that meet a first preset condition from the content set based on the target distribution quota value of each category and the weight value corresponding to the at least one category associated with each to-be-screened content;
• and
• recommending the selected target contents to a user associated with a client computing device.

A non-transitory computer-readable storage medium, wherein the computer-readable storage medium stores computer-readable instructions, and wherein when the computer-readable instructions are executed by a processor, the processor implement operations comprising:

• obtaining a content set to be screened, wherein the content set comprises a plurality of to-be-screened contents, wherein each to-be-screened content is associated with identification information, at least one tag indicative of at least one category, and a score, and wherein the plurality of to-be-screened contents are ranked based on their respective scores in the content set in advance;
• computing a distribution quota value of each category indicated by a corresponding tag and associated with the plurality of to-be-screened contents in the content set based on the at least one category associated with each to-be-screened content and a weight value corresponding to the at least one category associated with each to-be-screened content;
• computing a target distribution quota value of each category indicated by a corresponding tag based on the distribution quota value of each category and a preset tag distribution quota adjustment function;
• sequentially selecting target contents that meet a first preset condition from the content set based on the target distribution quota value of each category and the weight value corresponding to the at least one category associated with each to-be-screened content;
• and
• recommending the selected target contents to a user associated with a client computing device.