Patents by Inventor Mengping LU

Mengping LU 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).

  • User portrait obtaining method, apparatus, and storage medium according to user behavior log records on features of articles
    Patent number: 11394798
    Abstract: User portrait obtaining method, apparatus, and storage medium are provided. The method includes: obtaining M training samples according to a user behavior log. An initialized user parameter matrix Wm×k and an initialized tag parameter matrix Hk×n are modified according to the M training samples by using a data fitting model, to obtain a final user parameter matrix Wm×k and a final tag parameter matrix Hk×n. Further, a user portrait matrix Pm×n is obtained according to the final user parameter matrix Wm×k and the final tag parameter matrix Hk×n. In the present disclosure, a user and a tag are parameterized, and a user parameter matrix and a tag parameter matrix are modified by using the data fitting model, so as to fit a training sample.
    Type: Grant
    Filed: July 3, 2018
    Date of Patent: July 19, 2022
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventor: Mengping Lu
  • USER PORTRAIT OBTAINING METHOD, APPARATUS, AND STORAGE MEDIUM
    Publication number: 20180316776
    Abstract: User portrait obtaining method, apparatus, and storage medium are provided. The method includes: obtaining M training samples according to a user behavior log. An initialized user parameter matrix Wm×k and an initialized tag parameter matrix Hk×n are modified according to the M training samples by using a data fitting model, to obtain a final user parameter matrix Wm×k and a final tag parameter matrix Hk×n. Further, a user portrait matrix Pm×n is obtained according to the final user parameter matrix Wm×k and the final tag parameter matrix Hk×n. In the present disclosure, a user and a tag are parameterized, and a user parameter matrix and a tag parameter matrix are modified by using the data fitting model, so as to fit a training sample.
    Type: Application
    Filed: July 3, 2018
    Publication date: November 1, 2018
    Inventor: Mengping LU