公开(公告)号：US20240104403A1

公开(公告)日：2024-03-28

申请号：US18521061

申请日：2023-11-28

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Yaqing Wang ,  Hongming Piao ,  Longteng Xu ,  Daxiang Dong ,  Jingbo Zhou

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: A method for training a click rate prediction model includes: obtaining sample feature information and a label value, in which the sample feature information includes feature information of a sample user and feature information of a target object, and the label value is configured to indicate whether the sample user interacts with the target object; obtaining a plurality of adjacent matrixes for feature interaction by processing the feature information of the target object based on the hypernetwork module; obtaining a click rate prediction value of the sample user on the target object using the prediction module, according to the sample feature information and the plurality of adjacent matrixes; and training the click rate prediction model according to the label value and the click rate prediction value.