Patents by Inventor Jonathan Daniel Showers Belkowitz

Jonathan Daniel Showers Belkowitz 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: 11475207
    Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: October 18, 2022
    Assignee: Salesforce, Inc.
    Inventors: Kexin Xie, Gokhan Cagrici, Daniel Keith Wilson, Shrestha Basu Mallick, Jonathan Daniel Showers Belkowitz, Jason Lestina, James Brewer, Daniel Louis Gasperut, Jeffery Allen Zickgraf, Greg Lyman, Michael Ronald Brewer, Evan Black, Austin Rauschuber, Victoria Schultz, Matthew David Trepina, Peter Stadlinger
  • Publication number: 20210157974
    Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.
    Type: Application
    Filed: June 15, 2020
    Publication date: May 27, 2021
    Inventors: Kexin Xie, Gokhan Cagrici, Daniel Keith Wilson, Shrestha Basu Mallick, Jonathan Daniel Showers Belkowitz, Jason Lestina, James Brewer, Daniel Louis Gasperut, Jeffrey Allen Zickgraf, Greg Lyman, Michael Ronald Brewer, Evan Black, Austin Rauschuber, Victoria Schultz, Matthew David Trepina, Peter Stadlinger