公开(公告)号：US20210224879A1

公开(公告)日：2021-07-22

申请号：US17152562

申请日：2021-01-19

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Lianghui Chen ,  Yan Fu ,  Quanbin Wang ,  Xiaoxuan Yang ,  Liangang Peng

IPC: G06Q30/06 ,  G06N20/00 ,  G06F16/245

Abstract: A method, electronic device and storage medium for item recommendation and for model training, which relates to the field of artificial intelligence, are disclosed. According to some embodiments: an item feature expression database is created using a pre-trained user-clicking-item task model and at least two pieces of feature information of items in the repository of items to be recommended; a feature expression of a user is obtained using the pre-trained user-clicking-item task model and at least two pieces of feature information of the user; identifiers of N items to be recommended are obtained according to the feature expression of the user and the item feature expression database; relevant information of the N items is recommended to the user based on the identifiers of the N items.