公开(公告)号：US20210390468A1

公开(公告)日：2021-12-16

申请号：US17126826

申请日：2020-12-18

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

Inventor： Zhuang JIA ,  Hanchenxi XU ,  Haocheng LIU ,  Yuan LI ,  Lingpeng FANG

IPC: G06Q10/06 ,  G06N7/00 ,  G06F40/20

Abstract: A method and apparatus for processing risk-management feature factors based on user generated content (UGC), an electronic device and a storage medium are disclosed, which relates to the fields of artificial intelligence and cloud computing. An implementation includes generating a feature expression of the UGC based on the UGC; and extracting the risk-management feature factors of the UGC according to a pre-generated risk-management-feature-factor extracting model and the feature expression of the UGC. According to the technology of the present application, the risk-management feature factors of a corresponding user may be extracted based on the UGC without depending on privacy information of the user, such as personal basic attributes, or the like, such that subsequent related processing actions of risk management may be facilitated, an acquiring way and an acquiring mode of the risk-management feature factors may be enriched effectively, and richer information of the risk-management feature factors may be acquired.

公开(公告)号：US20210349920A1

公开(公告)日：2021-11-11

申请号：US17379781

申请日：2021-07-19

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

Inventor： Haocheng LIU ,  Yuan LI

IPC: G06F16/28 ,  G06F16/2455 ,  G06Q40/02

Abstract: A method and an apparatus for outputting information are provided. The method may include: acquiring feature data of a user, where the feature data includes a user identifier, values of feature variable, and label values corresponding to the user identifiers; determining a discrete feature variable and a continuous feature variable in the feature variables; determining sets of values of the discrete feature variable corresponding to different label values, and determining sets of values of the continuous feature variable corresponding to the different label values; determining sets of values of the feature variables corresponding to the different label values based on the sets of values of the discrete feature variable corresponding to the different label values and the sets of values of the continuous feature variable corresponding to the different label values; and outputting the sets of values of the feature variables corresponding to the different label values.