Patents Assigned to BEIJING TRUSFORT TECHNOLOGY CO., LTD.
  • Patent number: 11830064
    Abstract: A method and system for credit risk identification. The disclosed embodiments include receiving a loan request to a credit business system from a user; in response to the loan request, obtaining operation data by the user on the credit business system within a period of time before the loan request; performing risk identification on the user using a neuronal network according to the loan request and the operation data to generate a result, and determining a response to the loan request based on the result of the risk identification.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: November 28, 2023
    Assignee: Beijing Trusfort Technology Co., Ltd.
    Inventors: Hao Guo, Wengang Wang, Zhun Cai, Yue Sun, Xiaopeng Guo
  • Publication number: 20220207604
    Abstract: A method and system for credit risk identification. The disclosed embodiments include receiving a loan request to a credit business system from a user; in response to the loan request, obtaining operation data by the user on the credit business system within a period of time before the loan request; performing risk identification on the user using a neuronal network according to the loan request and the operation data to generate a result, and determining a response to the loan request based on the result of the risk identification.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 30, 2022
    Applicant: Beijing Trusfort Technology Co., Ltd.
    Inventors: Hao GUO, Wengang WANG, Zhun CAI, Yue SUN, Xiaopeng GUO
  • Patent number: 10572885
    Abstract: Training method and apparatus for loan fraud detection model and a computer device are provided, wherein the training method for loan fraud detection model includes: acquiring identity information and user's bank statement information of a plurality of sample users, and fraud label information corresponding to each user; constructing an identity feature vector and a behavior pattern vector according to the identity information; constructing a statement feature vector according to the behavior pattern vector, a second vector transformation matrix and the user's bank statement information; generating a target feature vector according to the behavior pattern vector and the statement feature vector; feeding a target neural network with the target feature vector to acquire a fraud detection result of the target feature vector; and training the target neural network, the first vector transformation matrix and the second vector transformation matrix to obtain a loan fraud detection model.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: February 25, 2020
    Assignee: BEIJING TRUSFORT TECHNOLOGY CO., LTD.
    Inventors: Hao Guo, Shanping Sun, Yumeng Chen, Zhun Cai, Yue Sun, Xiaopeng Guo