Feature processing method and apparatus for artificial intelligence recommendation model, electronic device, and storage medium

A feature processing apparatus for an AI recommendation model, the apparatus comprising a memory and a processor, the memory storing computer-readable instructions, the computer-readable instructions, when executed by the processor, causing the processor to:

• obtain input data, and convert a data structure of the input data into a uniform sample structure;
• determine a feature group identifier and a feature extraction function that correspond to the AI recommendation model;
• perform feature extraction on the converted input data according to the feature extraction function, to obtain a feature group identifier, a feature identifier and a feature value of the input data;
• and
• construct a sample of the AI recommendation model according to the feature group identifier, the feature identifier and the feature value of the input data.

A non-transitory computer readable storage media storing computer-readable instructions, the computer-readable instructions, when executed by one or more processors, causing the one or more processors to perform a feature processing method for an artificial intelligence (AI) recommendation model, comprising:

• obtaining input data, and converting a data structure of the input data into a uniform sample structure;
• determining a feature group identifier and a feature extraction function that correspond to the AI recommendation model;
• extracting a feature group identifier, a feature identifier and a feature value of the input data from the converted input data according to the feature extraction function;
• and
• constructing a sample of the AI recommendation model according to the feature group identifier, the feature identifier and the feature value of the input data.