Patents by Inventor Nadezhda Aleksandrovna BUGAKOVA

Nadezhda Aleksandrovna BUGAKOVA 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).

  • Method and system for selecting label from plurality of labels for task in crowd-sourced environment
    Patent number: 11481650
    Abstract: There is disclosed a method system for selecting a label for a task, the method comprising: receiving a plurality of labels, each of the label included within the plurality of labels being indicative of a given assessor's perceived preference of a first object of over a second object; analyzing the comparison task to determine a set of latent biasing features; executing a MLA configured to generating a respective latent score parameter for the first object and the second object, the respective latent score parameter indicative of a probable offset between the given assessor's perceived preference and an unbiased preference parameter of the first object over the second object; generating a predicted bias degree parameter for the given assessor; generating the unbiased preference parameter; using, by the server, the unbiased preference parameter as the label for the comparison task for the given assessor.
    Type: Grant
    Filed: June 19, 2020
    Date of Patent: October 25, 2022
    Assignee: YANDEX EUROPE AG
    Inventors: Nadezhda Aleksandrovna Bugakova, Valentina Pavlovna Fedorova, Alexey Valerevich Drutsa, Gleb Gennadevich Gusev
  • METHOD AND SYSTEM FOR SELECTING LABEL FROM PLURALITY OF LABELS FOR TASK IN CROWD-SOURCED ENVIRONMENT
    Publication number: 20210133606
    Abstract: There is disclosed a method system for selecting a label for a task, the method comprising: receiving a plurality of labels, each of the label included within the plurality of labels being indicative of a given assessor's perceived preference of a first object of over a second object; analyzing the comparison task to determine a set of latent biasing features; executing a MLA configured to generating a respective latent score parameter for the first object and the second object, the respective latent score parameter indicative of a probable offset between the given assessor's perceived preference and an unbiased preference parameter of the first object over the second object; generating a predicted bias degree parameter for the given assessor; generating the unbiased preference parameter; using, by the server, the unbiased preference parameter as the label for the comparison task for the given assessor.
    Type: Application
    Filed: June 19, 2020
    Publication date: May 6, 2021
    Inventors: Nadezhda Aleksandrovna BUGAKOVA, Valentina Pavlovna FEDOROVA, Alexey Valerevich DRUTSA, Gleb Gennadevich GUSEV