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公开(公告)号:US11568347B2
公开(公告)日:2023-01-31
申请号:US17126826
申请日:2020-12-18
Inventor: Zhuang Jia , Hanchenxi Xu , Haocheng Liu , Yuan Li , Lingpeng Fang
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.
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公开(公告)号:US11327990B2
公开(公告)日:2022-05-10
申请号:US16790076
申请日:2020-02-13
Inventor: Haocheng Liu , Hanchenxi Xu , Yanhe Wang
Abstract: The present disclosure relates to a technical field of user portraits, and provides a user portrait processing method, a user portrait processing device, a server and a storage medium, for a purpose of solving a problem that it is difficult to trace historical label features of a user since an original label feature is replaced by an updated label feature when the user portrait is updated in the related art. The method includes: when receiving a message for updating user portrait data of a user account, obtaining the updated user portrait data. The user portrait data includes a label feature. The method further includes storing the updated user portrait data in association with an update time as user portrait information of the user account. The present disclosure is applicable for performing statistics on historical information of the user portrait.
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