公开(公告)号：US20210365517A1

公开(公告)日：2021-11-25

申请号：US17397189

申请日：2021-08-09

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

Inventor： Liang ZHANG ,  Xiangjian ZENG ,  Cihang JIN ,  Tiannan FU ,  Ruina YIN

IPC: G06F16/9538 ,  G06F16/957 ,  G06N20/00

Abstract: A method for training a fusion ordering model, a search ordering method, an electronic device and a storage medium, and related to the technical field of artificial intelligence such as deep learning and the like are provided. The method includes: inputting prediction scores of a plurality of targets included in a candidate search result into a fusion ordering model, to obtain a fusion ordering result; collecting feedback information of the plurality of targets included in the fusion ordering result; and updating the fusion ordering model by utilizing the feedback information and a combined function, wherein the combined function is a function constructed by utilizing the plurality of targets. The solution of the embodiment is favorable for balancing the requirements of the plurality of targets, and the obtained updated fusion ordering model can provide a better search ordering result.