The invention relates to the technical field of
machine learning, in particular to a
negative sample extraction method and device,
computer equipment and a storage medium, and the method comprises thesteps: obtaining the page burying point information of a display page in an application platform, and determining the
label information and popularity information of each burying
point object according to the page burying point information; acquiring historical behavior information of a user in the application platform, and determining a
label weight of the user in the application platform according to the historical behavior information; according to the
label weight and the label information of each buried
point object, determining the sampling probability of each buried
point object sampled by the user in the application platform; generating a
negative sample distribution sequence according to the popularity information and the sampling probability of each buried point object, and extracting a
negative sample from the negative sample distribution sequence. According to the scheme, the sampling logic of the negative sample is optimized, the calculation amount in the model training process is reduced, and the model effect and the evaluation index are improved.