Patents by Inventor Argyrios Zymnis

Argyrios Zymnis 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).

  • Patent number: 11005883
    Abstract: Disclosed is a system for recommending content of a predefined category to an account holder, detecting spam applications, or account holders based on the account holder application graphs. The system receives information corresponding to applications executing on the client device of the account holders and generates an application graph for each account holder that includes a list of predefined application categories that are preferred by the account holder. For each predefined category, a list of account holders preferring content relevant to that category is predicted based on the set of generated application graphs. Some application graphs may be detected as spam application graphs by comparing the generated application graphs with a set of predefined spam application graphs. Alternatively, if the generated application graph does not match the predefined spam application graphs, they are compared to a set of application graphs from a database to find similar application graphs.
    Type: Grant
    Filed: October 19, 2017
    Date of Patent: May 11, 2021
    Assignee: Twitter, Inc.
    Inventors: Deepak Rao, Argyrios Zymnis, Kelton Lynn, Michael Ducker, Sean Cook
  • Publication number: 20180041522
    Abstract: Disclosed is a system for recommending content of a predefined category to an account holder, detecting spam applications, or account holders based on the account holder application graphs. The system receives information corresponding to applications executing on the client device of the account holders and generates an application graph for each account holder that includes a list of predefined application categories that are preferred by the account holder. For each predefined category, a list of account holders preferring content relevant to that category is predicted based on the set of generated application graphs. Some application graphs may be detected as spam application graphs by comparing the generated application graphs with a set of predefined spam application graphs. Alternatively, if the generated application graph does not match the predefined spam application graphs, they are compared to a set of application graphs from a database to find similar application graphs.
    Type: Application
    Filed: October 19, 2017
    Publication date: February 8, 2018
    Inventors: Deepak Rao, Argyrios Zymnis, Kelton Lynn, Michael Ducker, Sean Cook
  • Patent number: 9825987
    Abstract: Disclosed is a system for recommending content of a predefined category to an account holder, or account holders based on the account holder application graphs. The system receives information corresponding to applications executing on the client device of the account holders and generates an application graph for each account holder that includes a list of predefined application categories that are preferred by the account holder. For each predefined category, a list of account holders preferring content relevant to that category is predicted based on the set of generated application graphs.
    Type: Grant
    Filed: April 29, 2015
    Date of Patent: November 21, 2017
    Assignee: Twitter, Inc.
    Inventors: Deepak Rao, Argyrios Zymnis, Kelton Lynn, Michael Ducker, Sean Cook
  • Publication number: 20150319181
    Abstract: Disclosed is a system for recommending content of a predefined category to an account holder, detecting spam applications, or account holders based on the account holder application graphs. The system receives information corresponding to applications executing on the client device of the account holders and generates an application graph for each account holder that includes a list of predefined application categories that are preferred by the account holder. For each predefined category, a list of account holders preferring content relevant to that category is predicted based on the set of generated application graphs. Some application graphs may be detected as spam application graphs by comparing the generated application graphs with a set of predefined spam application graphs. Alternatively, if the generated application graph does not match the predefined spam application graphs, they are compared to a set of application graphs from a database to find similar application graphs.
    Type: Application
    Filed: April 29, 2015
    Publication date: November 5, 2015
    Inventors: Deepak Rao, Argyrios Zymnis, Kelton Lynn, Michael Ducker, Sean Cook