Patents by Inventor Taisheng Qiu

Taisheng Qiu 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: 11449916
    Abstract: A method and apparatus is described to push to-be-recommended products onto users' terminals based on similarities in the to-be-recommended products and products in the users' historical records of products. To improve the pushed recommendations various technics are applied, including: using predefined criteria to filter products provided from the users' historical records, applying temporal decay to provide real-time recommendations, removing already obtained products from the to-be-recommended products to be pushed, improving similarity calculations by determining similarity using pairwise variations between products both in and out of the candidates for to-be-recommended products, sorting the to-be-recommended product according to a preset recommendation policy, calculating pairwise variations using multiple types of similarity measures, using weights to determine the to-be-recommended products, and applying a preset recommendation policy based on a given scenario.
    Type: Grant
    Filed: May 29, 2018
    Date of Patent: September 20, 2022
    Assignee: Tencent Technology (Shenzhen) Company Limited
    Inventors: Delong Wu, Xinpeng Guo, Taisheng Qiu
  • Publication number: 20180276734
    Abstract: A method and apparatus is described to push to-be-recommended products onto users' terminals based on similarities in the to-be-recommended products and products in the users' historical records of products. To improve the pushed recommendations various technics are applied, including: using predefined criteria to filter products provided from the users' historical records, applying temporal decay to provide real-time recommendations, removing already obtained products from the to-be-recommended products to be pushed, improving similarity calculations by determining similarity using pairwise variations between products both in and out of the candidates for to-be-recommended products, sorting the to-be-recommended product according to a preset recommendation policy, calculating pairwise variations using multiple types of similarity measures, using weights to determine the to-be-recommended products, and applying a preset recommendation policy based on a given scenario.
    Type: Application
    Filed: May 29, 2018
    Publication date: September 27, 2018
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Delong Wu, Xinpeng Guo, Taisheng Qiu