Patents by Inventor Staeven Duckworth

Staeven Duckworth 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).

  • Recommendation Network Using Machine Learning
    Publication number: 20240161166
    Abstract: Methods, systems, and apparatuses are described herein for providing purchase recommendations by analyzing social networks using machine learning. A machine learning model may be trained to select one or more of the first plurality of users. Purchase intention data that indicates an intention of a first user to acquire a type of asset may be received. Social networking data that comprises a plurality of associations between a second plurality of users may be received. Purchase history data indicating one or more purchases, of one or more assets associated with the type of asset, made by the second plurality of users may be received. The trained machine learning model may be provided the data. In return, the trained machine learning model may provide an indication of a second user. A notification may be sent to the second user.
    Type: Application
    Filed: January 9, 2024
    Publication date: May 16, 2024
    Inventors: Micah Price, Avid Ghamsari, Qiaochu Tang, Geoffrey Dagley, Staeven Duckworth
  • Device, method, and computer-readable media for recommendation networking based on connections, characteristics, and assets using machine learning
    Patent number: 11907997
    Abstract: Methods, systems, and apparatuses are described herein for providing purchase recommendations by analyzing social networks using machine learning. A machine learning model may be trained to select one or more of the first plurality of users. Purchase intention data that indicates an intention of a first user to acquire a type of asset may be received. Social networking data that comprises a plurality of associations between a second plurality of users may be received. Purchase history data indicating one or more purchases, of one or more assets associated with the type of asset, made by the second plurality of users may be received. The trained machine learning model may be provided the data. In return, the trained machine learning model may provide an indication of a second user. A notification may be sent to the second user.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: February 20, 2024
    Assignee: Capital One Services, LLC
    Inventors: Micah Price, Avid Ghamsari, Qiaochu Tang, Geoffrey Dagley, Staeven Duckworth
  • Recommendation Network Using Machine Learning
    Publication number: 20230094236
    Abstract: Methods, systems, and apparatuses are described herein for providing purchase recommendations by analyzing social networks using machine learning. A machine learning model may be trained to select one or more of the first plurality of users. Purchase intention data that indicates an intention of a first user to acquire a type of asset may be received. Social networking data that comprises a plurality of associations between a second plurality of users may be received. Purchase history data indicating one or more purchases, of one or more assets associated with the type of asset, made by the second plurality of users may be received. The trained machine learning model may be provided the data. In return, the trained machine learning model may provide an indication of a second user. A notification may be sent to the second user.
    Type: Application
    Filed: September 29, 2021
    Publication date: March 30, 2023
    Inventors: Micah Price, Avid Ghamsari, Qiaochu Tang, Geoffrey Dagley, Staeven Duckworth