Patents by Inventor George Bonev

George Bonev 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: 11876757
    Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.
    Type: Grant
    Filed: October 5, 2022
    Date of Patent: January 16, 2024
    Assignee: LIVEPERSON, INC.
    Inventors: Michael Higgins, Akshay Hazare, Andrew Maurer, Matthew Dunn, George Bonev
  • Publication number: 20230122872
    Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.
    Type: Application
    Filed: October 5, 2022
    Publication date: April 20, 2023
    Applicant: LIVEPERSON, INC.
    Inventors: Michael Higgins, Akshay Hazare, Andrew Maurer, Matthew Dunn, George Bonev
  • Patent number: 11496422
    Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: November 8, 2022
    Assignee: LIVEPERSON, INC.
    Inventors: Michael Higgins, Akshay Hazare, Andrew Maurer, Matthew Dunn, George Bonev
  • Publication number: 20220200936
    Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.
    Type: Application
    Filed: December 21, 2021
    Publication date: June 23, 2022
    Applicant: LIVEPERSON, INC.
    Inventors: Michael Higgins, Akshay Hazare, Andrew Maurer, Matthew Dunn, George Bonev