Patents by Inventor Huihong Zhao

Huihong Zhao 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).

  • SYSTEMS AND METHODS FOR GENERATING CANDIDATE RECOMMENDATIONS
    Publication number: 20240037153
    Abstract: Systems, methods, and non-transitory computer-readable media can be configured to determine a set of candidates based at least in part on filtering criteria. A subset of candidates can be determined from the set of candidates based at least in part on one or more recruiter features associated with a recruiter. A recommendation can be provided to the recruiter for a candidate from among the subset of candidates based at least in part on a ranking of the subset of candidates.
    Type: Application
    Filed: October 4, 2019
    Publication date: February 1, 2024
    Inventors: Hailing Cheng, Jing Ma, Miaoqing Fang, Huihong Zhao
  • Deep learning based distribution of content items describing events to users of an online system
    Patent number: 11379715
    Abstract: An online system distributes content items describing events to one or more users of the online system. The online system receives, an event from a third-party system, the event associated with one or more content items. The online system determines a vector representation of users based on a first neural network and a vector representation of an event based on a second neural network. The online system jointly trains the first neural network and second neural network based on labels describing user entity relationships. The online system determines a likelihood of attendance of an event by a user based on a distance between the vector representation of the user and the vector representation of the entity. The online system provides the content associated with the event to users of the online system based on the likelihood of attendance of the event by the users.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: July 5, 2022
    Assignee: Meta Platforms, Inc.
    Inventors: Lijun Tang, Huihong Zhao
  • DEEP LEARNING BASED DISTRIBUTION OF CONTENT ITEMS DESCRIBING EVENTS TO USERS OF AN ONLINE SYSTEM
    Publication number: 20190188561
    Abstract: An online system distributes content items describing events to one or more users of the online system. The online system receives, an event from a third-party system, the event associated with one or more content items. The online system determines a vector representation of users based on a first neural network and a vector representation of an event based on a second neural network. The online system jointly trains the first neural network and second neural network based on labels describing user entity relationships. The online system determines a likelihood of attendance of an event by a user based on a distance between the vector representation of the user and the vector representation of the entity. The online system provides the content associated with the event to users of the online system based on the likelihood of attendance of the event by the users.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 20, 2019
    Inventors: Lijun Tang, Huihong Zhao