公开(公告)号：US20250117602A1

公开(公告)日：2025-04-10

申请号：US18988044

申请日：2024-12-19

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Zhaoxu Wang ,  Qiang Xie ,  Yuhang Zheng ,  Shouke Qin ,  Zonggang Wu ,  Yuanhua Shao ,  Yan Wang ,  Ruohan Chang ,  Qingqing Wu ,  Lu Wang ,  Songge Guo ,  Chang Li ,  Xi Cao ,  Qian Wu ,  Xiaoyu Hu ,  Huijie Liu ,  Yu Guo ,  Hui Xue ,  Rufeng Cheng

IPC: G06F40/40

Abstract: A large model-based recommendation method includes: determining description information of interested content corresponding to a target user; inputting a content to be recommended, the description information of interested content and current popular search sentences into a large model to generate at least one recommendation card corresponding to the content to be recommended, in which the recommendation card contains a recommendation word associated with the content to be recommended; obtaining a current behavior characteristic of the target user; and in response to the current behavior characteristic satisfying a display condition of the recommendation card, displaying the recommendation card corresponding to at least one content to be recommended.