公开(公告)号：US20230230038A1

公开(公告)日：2023-07-20

申请号：US17945168

申请日：2022-09-15

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

Inventor： Ying SUN ,  Hengshu ZHU ,  Chuan QIN ,  Peng WANG ,  Hui XIONG

IPC: G06Q10/10 ,  G06F16/906

CPC classification number: G06Q10/1053 ,  G06F16/906

Abstract: There is provided a method for cross-regional talent flow intention analysis, an electronic device, and a storage medium, which relates to technical fields such as big data processing and data statistics and analysis. A specific implementation solution involves: constructing a talent flow intention network based on search data in a network within a preset period of time; and performing cross-regional talent flow intention analysis based on the talent flow intention network to obtain a talent flow intention analysis result.

公开(公告)号：US20230093528A1

公开(公告)日：2023-03-23

申请号：US18070775

申请日：2022-11-29

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

Inventor： Ying SUN ,  Hengshu Zhu ,  Chuan Qin ,  Fuzhen Zhuang ,  Hui Xiong

IPC: G06N3/04 ,  G06N3/08

Abstract: An interpretation method for a neural network model is provided. Input data and output data corresponding to the input data of a neural network model are acquired, in which the neural network model includes layers of networks connected sequentially, and each layer of network corresponds to a plurality of candidate concepts. A key inference path through which the output data is obtained by the neural network model based on the input data are acquired, in which the key inference path includes target concepts respectively used by the layers of networks when the input data is processed in the neural network model, in which the target concepts are selected from the plurality of candidate concepts. Interpretation information corresponding to the layers of networks is determined according to the target concepts corresponding to the layers of networks, respectively. The key inference path and the interpretation information are output.