Patents by Inventor Anastasia Feygina

Anastasia Feygina 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).

  • Extracting knowledge from collaborative support sessions
    Patent number: 11011183
    Abstract: At a communication server, a first computer device and a second computer device are connected to a collaborative support session configured to support audio communications, screen sharing, and control of the first computer device by the second computer device. Screen sharing video image content is converted to a text sequence with timestamps. A text log with timestamps is generated from the text sequence. Using a command-based machine learning model, a sequence of commands and associated parameters, with timestamps, are determined from the text log. Audio is analyzed to produce speech-based information with timestamps. The command sequence is time-synchronized with the speech-based information based on the timestamps of the command sequence and the timestamps of the speech-based information. A knowledge report for the collaborative support session is generated.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: May 18, 2021
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Qihong Shao, Pranjal Daga, Dmitry Goloubew, Anastasia Feygina, Antonio Nucci, Carlos M. Pignataro, Gyana R. Dash
  • EXTRACTING KNOWLEDGE FROM COLLABORATIVE SUPPORT SESSIONS
    Publication number: 20200312348
    Abstract: At a communication server, a first computer device and a second computer device are connected to a collaborative support session configured to support audio communications, screen sharing, and control of the first computer device by the second computer device. Screen sharing video image content is converted to a text sequence with timestamps. A text log with timestamps is generated from the text sequence. Using a command-based machine learning model, a sequence of commands and associated parameters, with timestamps, are determined from the text log. Audio is analyzed to produce speech-based information with timestamps. The command sequence is time-synchronized with the speech-based information based on the timestamps of the command sequence and the timestamps of the speech-based information. A knowledge report for the collaborative support session is generated.
    Type: Application
    Filed: March 25, 2019
    Publication date: October 1, 2020
    Inventors: Qihong Shao, Pranjal Daga, Dmitry Goloubew, Anastasia Feygina, Antonio Nucci, Carlos M. Pignataro, Gyana R. Dash