Patents by Inventor Tsung-Nan Liu

Tsung-Nan Liu 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: 11720632
    Abstract: Systems and methods for training a machine learning (ML) ranking model to rank genealogy hints are described herein. One method includes retrieving a plurality of genealogy hints for a target person, where each of the plurality of genealogy hints corresponds to a genealogy item and has a hint type of a plurality of hint types. The method includes generating, for each of the plurality of genealogy hints, a feature vector having a plurality of feature values, the feature vector being included in a plurality of feature vectors. The method includes extending each of the plurality of feature vectors by at least one additional feature value based on the number of features of one or more other hint types of the plurality of hint types. The method includes training the ML ranking model using the extended plurality of feature vectors and user-provided labels.
    Type: Grant
    Filed: January 9, 2023
    Date of Patent: August 8, 2023
    Assignee: Ancestry.com Operations Inc.
    Inventors: Peng Jiang, Tyler Folkman, Tsung-Nan Liu, Yen-Yun Yu, Ruhan Wang, Jack Reese, Azadeh Moghtaderi
  • Patent number: 11551025
    Abstract: Systems and methods for training a machine learning (ML) ranking model to rank genealogy hints are described herein. One method includes retrieving a plurality of genealogy hints for a target person, where each of the plurality of genealogy hints corresponds to a genealogy item and has a hint type of a plurality of hint types. The method includes generating, for each of the plurality of genealogy hints, a feature vector having a plurality of feature values, the feature vector being included in a plurality of feature vectors. The method includes extending each of the plurality of feature vectors by at least one additional feature value based on the number of features of one or more other hint types of the plurality of hint types. The method includes training the ML ranking model using the extended plurality of feature vectors and user-provided labels.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: January 10, 2023
    Assignee: Ancestry.com Operations Inc.
    Inventors: Peng Jiang, Tyler Folkman, Tsung-Nan Liu, Yen-Yun Yu, Ruhan Wang, Jack Reese, Azadeh Moghtaderi
  • Publication number: 20190347511
    Abstract: Systems and methods for training a machine learning (ML) ranking model to rank genealogy hints are described herein. One method includes retrieving a plurality of genealogy hints for a target person, where each of the plurality of genealogy hints corresponds to a genealogy item and has a hint type of a plurality of hint types. The method includes generating, for each of the plurality of genealogy hints, a feature vector having a plurality of feature values, the feature vector being included in a plurality of feature vectors. The method includes extending each of the plurality of feature vectors by at least one additional feature value based on the number of features of one or more other hint types of the plurality of hint types. The method includes training the ML ranking model using the extended plurality of feature vectors and user-provided labels.
    Type: Application
    Filed: May 8, 2019
    Publication date: November 14, 2019
    Applicant: Ancestry.com Operations Inc.
    Inventors: Peng Jiang, Tyler Folkman, Tsung-Nan Liu, Yen-Yun Yu, Ruhan Wang, Jack Reese, Azadeh Moghtaderi