公开(公告)号：US20220414474A1

公开(公告)日：2022-12-29

申请号：US17901803

申请日：2022-09-01

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

Inventor： Hongjian Shi ,  Xinwei Feng ,  Feifei Li ,  Chenyang Guo ,  Xueqian Wu ,  Meng Tian ,  Yu Sun

IPC: G06N3/08 ,  G06F16/953

Abstract: A search method based on a neural network model is provided. The neural network model includes a semantic representation model, a recall model, and a ranking model. The present disclosure relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation of the method comprises: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model.