公开(公告)号：US20240202491A1

公开(公告)日：2024-06-20

申请号：US18416924

申请日：2024-01-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wei Guo ,  Jiarui Qin ,  Ruiming Tang ,  Zhirong Liu ,  Xiuqiang He ,  Weinan Zhang ,  Yong Yu

IPC: G06N3/04 ,  G06Q30/0601

CPC classification number: G06N3/04 ,  G06Q30/0631

Abstract: A recommendation device obtains to-be-predicted data and a plurality of target reference samples based on a similarity between the to-be-predicted data and the plurality of reference samples. Each reference sample and the to-be-predicted data each include user feature field data indicating a feature of a target user, and item feature field data indicating a feature of a target item. Each target reference sample and the to-be-predicted data have partially identical user feature field data and/or item feature field data. The recommendation device obtains target feature information of the to-be-predicted data based on the plurality of target reference samples and the to-be-predicted data. The recommendation device then uses the target feature information as input to a deep neural network to obtain a target item that is to be recommended.