Patents by Inventor Vic Liu

Vic Liu 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).

  • Publication number: 20230289879
    Abstract: A method comprising collecting a user ownership data set including a number of shares of stock that a user owns in a first company; collecting an offer data set including a first offer for shareholders who own a first threshold number of shares in the first company; and publishing the first offer to the user that owns the number of shares of stock of the first company, systems that implement such methods, and non-transitory computer readable media having instructions that when executed by a processor cause a computing device to implement such methods.
    Type: Application
    Filed: March 9, 2023
    Publication date: September 14, 2023
    Inventors: Monte Traficante, Adam Bonner, Andrew Mclendon, Vic Liu
  • Publication number: 20210034782
    Abstract: The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.
    Type: Application
    Filed: July 29, 2019
    Publication date: February 4, 2021
    Applicant: GOOGLE LLC
    Inventors: Michael Kleber, Vic Liu, Josh Karlin, Gang Wang, Nitish Korula, Yijian Bai, Jason Hsueh, Deepak Ravichandran