Patent ID: 11893071
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 7:
8. The method according to claim 2, wherein the trained prediction model is trained in the following manner:
selecting training samples from the training sample data set, each of the training samples being labeled with a predicted CTR at which a sample object clicks sample content;
for any training sample, inputting content feedback information of a sample object and content feature information of sample content comprised in the training sample into an untrained prediction model, and obtaining a predicted CTR that is outputted by the untrained prediction model and at which the sample object clicks the sample content; and
optimizing a parameter of the untrained prediction model based on a target loss function, until a difference between the labeled predicted CTR of each training sample and the predicted CTR of each training sample obtained using the untrained prediction model is within an allowable difference range, to obtain the trained prediction model.