Patents by Inventor Chenzhang He

Chenzhang He 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 using link graphs to demote links to low-quality webpages
    Patent number: 10706114
    Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) generating a link graph from a crawl of the links, (4) using the link graph to derive a graph-based feature for each of the links, (5) using the label and the graph-based feature of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (6) identifying content items that are candidates for a content feed of a user, (7) applying the model to the content items to determine a ranking, and (8) displaying the content items in the content feed based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Grant
    Filed: November 17, 2017
    Date of Patent: July 7, 2020
    Assignee: Facebook, Inc.
    Inventors: Sijian Tang, Jiayi Wen, James Li, Shengbo Guo, Chenzhang He, Jiun-Ren Lin
  • SYSTEMS AND METHODS FOR USING LINK GRAPHS TO DEMOTE LINKS TO LOW-QUALITY WEBPAGES
    Publication number: 20190155952
    Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) generating a link graph from a crawl of the links, (4) using the link graph to derive a graph-based feature for each of the links, (5) using the label and the graph-based feature of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (6) identifying content items that are candidates for a content feed of a user, (7) applying the model to the content items to determine a ranking, and (8) displaying the content items in the content feed based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: November 17, 2017
    Publication date: May 23, 2019
    Inventors: Sijian Tang, Jiayi Wen, James Li, Shengbo Guo, Chenzhang He, Jiun-Ren Lin