公开(公告)号：US20230031522A1

公开(公告)日：2023-02-02

申请号：US17964117

申请日：2022-10-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Bin Liu ,  Ruiming Tang ,  Huifeng Guo ,  Niannan Xue ,  Guilin Li ,  Xiuqiang He ,  Zhenguo Li

IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: This application relates to the field of artificial intelligence. A recommendation method based on automatic feature grouping includes: obtaining a plurality of candidate recommended objects and a plurality of association features of each of the plurality of candidate recommended objects; performing multi-order automatic feature grouping on the plurality of association features of each candidate recommended object, to obtain a multi-order feature interaction set of each candidate recommended object; obtaining an interaction feature contribution value of each candidate recommended object through calculation based on the plurality of association features in the multi-order feature interaction set of each candidate recommended object; obtaining a prediction score of each candidate recommended object through calculation based on the interaction feature contribution value of each candidate recommended object; and determining one or more corresponding candidate recommended objects with a high prediction score as a target recommended object.