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：US20200334676A1

公开(公告)日：2020-10-22

申请号：US16830043

申请日：2020-03-25

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

Inventor： Yanhe WANG ,  Pengfei TIAN ,  Lingpeng FANG ,  Qing LI ,  Shuping ZHOU

IPC: G06Q20/40 ,  G06Q40/02 ,  G06Q20/24 ,  G06Q20/34 ,  G06Q20/38

Abstract: Embodiments of the present disclosure disclose an information recommendation method and apparatus, a device and a medium, which relate to the field of information technologies. The method includes: determining, according to a user characteristic, at least one historical user similar to a target user as a reference user; determining a target type of objects associated with historical behaviors of the reference user as candidate objects; determining weights of the candidate objects according to the historical behaviors of the reference user on the candidate objects, weights of the historical behaviors and a similarity between the reference user and the target user; and recommending the target type of objects to the target user according to the weights of the candidate objects.