公开(公告)号：US20180276542A1

公开(公告)日：2018-09-27

申请号：US15993288

申请日：2018-05-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jiefeng Cheng ,  Zhenguo Li ,  Xiuqiang He ,  Dahua Lin

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06F16/9535 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/0472 ,  G06Q30/02 ,  G06Q30/0241 ,  G06Q30/0271

Abstract: A recommendation result generation method, where the method includes obtaining article content information of at least one article and user score information of at least one user, where user score information of a first user of the at least one user includes a historical score of the first user for the at least one article, encoding the article content information and the user score information using an article neural network and a user neural network respectively to obtain a target article latent vector of each of the at least one article and a target user latent vector of each of the at least one user, and calculating a recommendation result for each user according to the article latent vector and the user latent vector.