Patents by Inventor Siguang Huang

Siguang Huang 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).

  • Reinforcement learning network for recommendation system in video delivery system
    Patent number: 10616625
    Abstract: A method receives user behavior information at a first system. The user behavior information is determined by user interaction with a first list sent to the user by a first network on a video delivery service. A first state is generated using the received user behavior information and prior user behavior information by the user from cells that store the prior user behavior. The method inputs the first state into a second network with the first recommendation list to generate a value that evaluates a performance of recommending the first recommendation list. An update to parameters is generated for the first network and provided to the first network. The first network generates a second state from the received user behavior information and prior user behavior information derived from cells that store the prior user behavior and outputs a second recommendation list using the second state and updated parameters.
    Type: Grant
    Filed: May 21, 2018
    Date of Patent: April 7, 2020
    Assignee: HULU, LLC
    Inventors: Siguang Huang, Guoxin Zhang, Hanning Zhou
  • Reinforcement Learning Network For Recommendation System In Video Delivery System
    Publication number: 20190356937
    Abstract: A method receives user behavior information at a first system. The user behavior information is determined by user interaction with a first list sent to the user by a first network on a video delivery service. A first state is generated using the received user behavior information and prior user behavior information by the user from cells that store the prior user behavior. The method inputs the first state into a second network with the first recommendation list to generate a value that evaluates a performance of recommending the first recommendation list. An update to parameters is generated for the first network and provided to the first network. The first network generates a second state from the received user behavior information and prior user behavior information derived from cells that store the prior user behavior and outputs a second recommendation list using the second state and updated parameters.
    Type: Application
    Filed: May 21, 2018
    Publication date: November 21, 2019
    Inventors: Siguang Huang, Guoxin Zhang, Hanning Zhou