Patents by Inventor Sanping Wu

Sanping Wu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11915311
    Abstract: A method, apparatus, and server for generating a user score based on social networking information is provided. In the disclosed method, by processing circuitry of an information processing apparatus, default annotation information of a plurality of sampled users, an ith user score and an ith relative user score for each of the sampled users are obtained. A user score model is trained according to the ith user score of the respective sampled user, the ith relative user score of the respective sampled user, and the default annotation information of the respective sampled user. An (i+1)th user score of the respective sampled user is subsequently calculated and a trained user score model, for each of the sampled users, is obtained when the (i+1)th user score for the respective sampled user satisfies a training termination condition, The method provides a solution to evaluate the user score for a use when personal information of the user is missing or incorrect.
    Type: Grant
    Filed: April 16, 2018
    Date of Patent: February 27, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Peixuan Chen, Qian Chen, Lin Li, Sanping Wu, Weiliang Zhuang
  • Publication number: 20180232665
    Abstract: A method, apparatus, and server for generating a user score based on social networking information is provided. In the disclosed method, by processing circuitry of an information processing apparatus, default annotation information of a plurality of sampled users, an ith user score and an ith relative user score for each of the sampled users are obtained. A user score model is trained according to the ith user score of the respective sampled user, the ith relative user score of the respective sampled user, and the default annotation information of the respective sampled user. An (i+1)th user score of the respective sampled user is subsequently calculated and a trained user score model, for each of the sampled users, is obtained when the (i+1)th user score for the respective sampled user satisfies a training termination condition, The method provides a solution to evaluate the user score for a use when personal information of the user is missing or incorrect.
    Type: Application
    Filed: April 16, 2018
    Publication date: August 16, 2018
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Peixuan CHEN, Qian Chen, Lin Li, Sanping Wu, Weiliang Zhuang