公开(公告)号：US11568347B2

公开(公告)日：2023-01-31

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 ,  G06F40/20 ,  G06N7/00

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：US11327990B2

公开(公告)日：2022-05-10

申请号：US16790076

申请日：2020-02-13

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

Inventor： Haocheng Liu ,  Hanchenxi Xu ,  Yanhe Wang

IPC: G06F16/00 ,  G06F16/25 ,  G06F16/23 ,  G06Q30/02

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.

公开(公告)号：US20210319366A1

公开(公告)日：2021-10-14

申请号：US17304686

申请日：2021-06-24

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

Inventor： Haocheng Liu

IPC: G06N20/00 ,  G06N5/00 ,  G06N7/00 ,  G06F7/24 ,  G06F7/32

Abstract: The present disclosure discloses a method, apparatus and device for generating a model and a storage medium. A method can include: acquiring sample resource features and sample labels; determining a first screening factor according to the sample resource features and the sample labels, and determining first resource features from the sample resource features according to the first screening factor; determining a second screening factor, and determining second resource features from the first resource features based on the second screening factor, and obtaining features of a target model based on the second resource features; and training a machine learning model, by taking the features of the target model as an input of the target model, and taking the sample labels corresponding to the features of the target model as an output of the target model, to obtain the trained target model.

公开(公告)号：US20190392258A1

公开(公告)日：2019-12-26

申请号：US16564562

申请日：2019-09-09

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

Inventor： Haocheng Liu ,  Jihong Zhang ,  Pengfei Tian

IPC: G06K9/62 ,  G06N20/00

Abstract: Embodiments of the present disclosure disclose a method and apparatus for generating information. The method for generating information includes: acquiring original data and tag data corresponding to the original data; encoding the original data and the tag data using a plurality of encoding algorithms to obtain a multi-dimensional feature encoding sequence; pre-training a machine learning model using the multi-dimensional feature encoding sequence; and determining a multi-dimensional feature encoding for training the machine learning model corresponding to the original data, based on evaluation data for the pre-trained machine learning model.

公开(公告)号：US20210248513A1

公开(公告)日：2021-08-12

申请号：US17213066

申请日：2021-03-25

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

Inventor： Haocheng Liu ,  Yuan Li ,  Guobin Xie

IPC: G06N20/00 ,  G06N5/04 ,  G06K9/62 ,  H04L29/08 ,  G06Q30/02

Abstract: A method and apparatus for training an online prediction model are provided. The method may include: acquiring an offline sample feature and an online sample feature of a user, the offline sample feature including a user portrait feature; offline training to obtain an offline recommendation model, based on the offline sample feature and the online sample feature of the user; acquiring a latest online feature of the user, and online training to obtain an online learning model based on the latest online feature of the user, the online learning model being used to adapt the latest online feature for use as an online sample feature to be input into the trained offline recommendation model; and synchronizing the offline recommendation model to online, and inputting the latest online feature output by the online learning model into the offline recommendation model to generate an online prediction model.