公开(公告)号：US20240265309A1

公开(公告)日：2024-08-08

申请号：US18638414

申请日：2024-04-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Biao LU ,  Jieming ZHU ,  Xiuqiang HE ,  Zhaowei WANG

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: This application relates to the artificial intelligence field, and in particular, to an item recommendation method and apparatus, and a storage medium. The method includes: obtaining historical interaction data of a target object, where the historical interaction data indicates a historical interaction event between the target object and at least one item; obtaining a pre-trained target recommendation model, where the target recommendation model includes a graph neural network model with one convolutional layer, and the convolutional layer indicates an association relationship between a sample object and a sample item; and invoking, based on the historical interaction data, the target recommendation model to output a target item corresponding to the target object. In the embodiments of this application, a framework structure of the target recommendation model is simplified, so that model operation time is greatly reduced.