公开(公告)号：US20250077873A1

公开(公告)日：2025-03-06

申请号：US18949212

申请日：2024-11-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jieming ZHU ,  Liqun DENG ,  Zhou ZHAO ,  Dong YAO ,  Zhenhua DONG

IPC: G06N3/084 ,  G06F18/214

Abstract: Representation learning methods and related devices are provided. An example method includes: obtaining a dataset of to-be-learned data; inputting the dataset into an encoder, and extracting features of the data segments based on a parameter of the encoder to obtain representation vectors corresponding to data segments of various scales; inputting the representation vectors into an interaction module, and performing, based on a parameter of the interaction module, information interaction on representation vectors corresponding to data segments of adjacent scales in the subset, to obtain fused representation vectors corresponding to the data segments of various scales; constructing an objective function based on the fused representation vectors; and optimizing the objective function to adjust the parameter of the encoder and the parameter of the interaction module, so that the encoder and the interaction module learn a high-quality representation vector of the to-be-learned data.

公开(公告)号：US20240184837A1

公开(公告)日：2024-06-06

申请号：US18441389

申请日：2024-02-14

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jieming ZHU ,  Zhou ZHAO ,  Shengyu ZHANG ,  Xiuqiang HE ,  Li QIAN

IPC: G06F16/9535 ,  G06V10/40

CPC classification number: G06F16/9535 ,  G06V10/40

Abstract: Examples of recommendation methods and apparatus are described. In one example method, a plurality of images are obtained, where each image includes one candidate interface and one type of candidate content presented by using the candidate interface. Image feature data of each image is obtained, and input for a prediction model is determined based on user feature data of a target user and the image feature data. Then, a degree of preference of the target user for each image is predicted by using the prediction model. At least one of a candidate interface or candidate content that are included in the plurality of images is selected based on the degree of preference. Recommendation is then performed to the user based on the selected candidate content or candidate interface.