Patents by Inventor Roman E. Zubenko

Roman E. Zubenko 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).

  • MACHINE-LEARNED DATABASE INTERACTION MODEL
    Publication number: 20250371435
    Abstract: A central database system trains a machine-learned model based on training data identifying entity characteristics of account holder entities, content item characteristics of a content item presented to the account holder entities, and interactions between the account holder entities and the presented content item. The central database system then identifies a target set of account holder entities, and applies the trained machine-learned model to the entity characteristics of each account holder entity of the target set of account holder entities, the entity characteristics of each of the account holder entities that previously interacted with the content item, and the content item characteristics of the content item to identify a subset of the target set of account holder entities for presentation of the content item. The content item is then displayed to the subset, the content item includes an interface element that, when selected, causes an interaction to take place.
    Type: Application
    Filed: August 21, 2025
    Publication date: December 4, 2025
    Inventors: Kirill Klimuk, Roman E. Zubenko, Sara A. Berry
  • Machine-learned database interaction model
    Patent number: 12423721
    Abstract: A central database system trains a machine-learned model based on training data identifying entity characteristics of account holder entities, content item characteristics of a content item presented to the account holder entities, and interactions between the account holder entities and the presented content item. The central database system then identifies a target set of account holder entities, and applies the trained machine-learned model to the entity characteristics of each account holder entity of the target set of account holder entities, the entity characteristics of each of the account holder entities that previously interacted with the content item, and the content item characteristics of the content item to identify a subset of the target set of account holder entities for presentation of the content item. The content item is then displayed to the subset, the content item includes an interface element that, when selected, causes an interaction to take place.
    Type: Grant
    Filed: April 20, 2024
    Date of Patent: September 23, 2025
    Assignee: ZenPayroll, Inc.
    Inventors: Kirill Klimuk, Roman E. Zubenko, Sara A. Berry
  • MACHINE-LEARNED DATABASE INTERACTION MODEL
    Publication number: 20240273560
    Abstract: A central database system trains a machine-learned model based on training data identifying entity characteristics of account holder entities, content item characteristics of a content item presented to the account holder entities, and interactions between the account holder entities and the presented content item. The central database system then identifies a target set of account holder entities, and applies the trained machine-learned model to the entity characteristics of each account holder entity of the target set of account holder entities, the entity characteristics of each of the account holder entities that previously interacted with the content item, and the content item characteristics of the content item to identify a subset of the target set of account holder entities for presentation of the content item. The content item is then displayed to the subset, the content item includes an interface element that, when selected, causes an interaction to take place.
    Type: Application
    Filed: April 20, 2024
    Publication date: August 15, 2024
    Inventors: Kirill Klimuk, Roman E. Zubenko, Sara A. Berry
  • Machine-learned database interaction model
    Patent number: 11995668
    Abstract: A central database system trains a machine-learned model based on training data identifying entity characteristics of account holder entities, content item characteristics of a content item presented to the account holder entities, and interactions between the account holder entities and the presented content item. The central database system then identifies a target set of account holder entities, and applies the trained machine-learned model to the entity characteristics of each account holder entity of the target set of account holder entities, the entity characteristics of each of the account holder entities that previously interacted with the content item, and the content item characteristics of the content item to identify a subset of the target set of account holder entities for presentation of the content item. The content item is then displayed to the subset, the content item includes an interface element that, when selected, causes an interaction to take place.
    Type: Grant
    Filed: May 10, 2021
    Date of Patent: May 28, 2024
    Assignee: ZENPAYROLL, INC.
    Inventors: Kirill Klimuk, Roman E. Zubenko, Sara A. Berry
  • MACHINE-LEARNED DATABASE INTERACTION MODEL
    Publication number: 20220358525
    Abstract: A central database system trains a machine-learned model based on training data identifying entity characteristics of account holder entities, content item characteristics of a content item presented to the account holder entities, and interactions between the account holder entities and the presented content item. The central database system then identifies a target set of account holder entities, and applies the trained machine-learned model to the entity characteristics of each account holder entity of the target set of account holder entities, the entity characteristics of each of the account holder entities that previously interacted with the content item, and the content item characteristics of the content item to identify a subset of the target set of account holder entities for presentation of the content item. The content item is then displayed to the subset, the content item includes an interface element that, when selected, causes an interaction to take place.
    Type: Application
    Filed: May 10, 2021
    Publication date: November 10, 2022
    Inventors: Kirill Klimuk, Roman E. Zubenko, Sara A. Berry