Patents by Inventor Maxim Lobanov

Maxim Lobanov 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: 11615144
    Abstract: A computer method, system, and device of training an empathy model for detecting a type of query, the method including defining an intent for detecting closed ended queries, providing a plurality of queries that are closed ended queries to a machine learning model generator, said plurality of queries comprising training data, providing a plurality of corresponding labels identifying the plurality of queries as closed ended queries, and generating a model that classifies closed ended queries as a function of the training data.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: March 28, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Monty Hammontree, Travis Lowdermilk, Valentina Strachan, Maxim Lobanov, Kelley Zhao, Steven Clarke, Jessica Rich, Juan P Carrascal-Ruiz
  • Patent number: 11055329
    Abstract: A computer implemented method, system, and device include providing a series of queries to a user via a client query device, sending queries from the series of queries via the client query device to an information source client, receiving information from an information source via the information source client, determining a proportion of queries to information, and generating a query communication as a function of the proportion of queries to information.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: July 6, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Monty Hammontree, Valentina Strachan, Travis Lowdermilk, Maxim Lobanov, Kelley Zhao, Steven Clarke, Jessica Rich, Juan P Carrascal-Ruiz
  • Publication number: 20190370390
    Abstract: A computer implemented method, system, and device include providing a series of queries to a user via a client query device, sending queries from the series of queries via the client query device to an information source client, receiving information from an information source via the information source client, determining a proportion of queries to information, and generating a query communication as a function of the proportion of queries to information.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 5, 2019
    Inventors: Monty Hammontree, Valentina Strachan, Travis Lowdermilk, Maxim Lobanov, Kelley Zhao, Steven Clarke, Jessica Rich, Juan P. Carrascal-Ruiz
  • Publication number: 20190370412
    Abstract: A computer method, system, and device of training an empathy model for detecting a type of query, the method including defining an intent for detecting closed ended queries, providing a plurality of queries that are closed ended queries to a machine learning model generator, said plurality of queries comprising training data, providing a plurality of corresponding labels identifying the plurality of queries as closed ended queries, and generating a model that classifies closed ended queries as a function of the training data.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 5, 2019
    Inventors: Monty Hammontree, Travis Lowdermilk, Valentina Strachan, Maxim Lobanov, Kelley Zhao, Steven Clarke, Jessica Rich, Juan P. Carrascal-Ruiz