Patents by Inventor Luvsandondov Lkhamsuren

Luvsandondov Lkhamsuren 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).

  • Synthetic data generation modeling system
    Patent number: 11430025
    Abstract: Systems and methods are provided for generating a first trained machine learning model, the first machine learning model comprising a plurality of hard layers for learning correlations between listing features and a plurality of soft layers, each soft layer for learning correlations for a prespecified listing feature. The systems and methods further provide for analyzing, using the first trained machine learning model, each of a plurality of price changes and price independent listing features for the first listing to determine a predicted value for each of a prespecified price dependent listing feature for each of the plurality of price changes for the first listing and generating, using the first trained machine learning model, the predicted value for each of the prespecified price dependent listing features for each of the plurality of price changes for the first listing.
    Type: Grant
    Filed: October 19, 2018
    Date of Patent: August 30, 2022
    Assignee: Airbnb, Inc.
    Inventor: Luvsandondov Lkhamsuren
  • SYNTHETIC DATA GENERATION MODELING SYSTEM
    Publication number: 20200126129
    Abstract: Systems and methods are provided for generating a first trained machine learning model, the first machine learning model comprising a plurality of hard layers for learning correlations between listing features and a plurality of soft layers, each soft layer for learning correlations for a prespecified listing feature. The systems and methods further provide for analyzing, using the first trained machine learning model, each of a plurality of price changes and price independent listing features for the first listing to determine a predicted value for each of a prespecified price dependent listing feature for each of the plurality of price changes for the first listing and generating, using the first trained machine learning model, the predicted value for each of the prespecified price dependent listing features for each of the plurality of price changes for the first listing.
    Type: Application
    Filed: October 19, 2018
    Publication date: April 23, 2020
    Inventor: Luvsandondov Lkhamsuren