Patents by Inventor Nicholas Kistner

Nicholas Kistner 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).

  • Publication number: 20240103998
    Abstract: This application sets forth techniques for variant testing at scale. In particular, the embodiments set forth provide systems and methods for testing, on a large-scale software application store, visual aspects of one or more variants of representative data associated with an application available through the software application store. According to some embodiments, a method may include using a subset of conversion data associated with a control object and a subset of the conversion data associated with at least one variant object to compute at least one conversion metric for the control object and at least one conversion metric for the at least one variant object. The method may also include generating a performance measurement by applying at least one statistical hypothesis testing function to the at least one conversion metric for the control object and the at least one conversion metric for the at least one variant object.
    Type: Application
    Filed: February 10, 2023
    Publication date: March 28, 2024
    Inventors: Jae Hyeon Bae, Kurt M. Fredericks, Nicholas Kistner, Andrew T. Maher, Nihar Ranjan Hati, Mahesh Molakalapalli, Srivas Chennu, Jamie J. Martin
  • Publication number: 20230394509
    Abstract: Providing peer group benchmarking with differential privacy obtaining one or more app store metrics for a first application, determining an application peer group for the first application, wherein the application peer group is determined based on a plurality of common traits, and obtaining one or more peer group app store metrics for the application peer group based on the one or more app store metrics. A user interface is displayed to indicate a relative placement of at least one of the one or more app store metrics for the first application among the peer group app store metrics, and the user interface element identifies the application peer group metrics with a minimum level of accuracy without revealing the performance of individual apps within the peer group.
    Type: Application
    Filed: June 5, 2022
    Publication date: December 7, 2023
    Inventors: Nicholas Kistner, Andrew T. Maher, Artem Kirillov, Daniela S. Antonova, Mahesh Molakalapalli, Matthew Tan Teik Hoe, Maxim Martynov, Rajiv J. Krishnamurthy, Vivek Krishnan, Yogesh V. Padte
  • Publication number: 20230176843
    Abstract: Techniques for digital asset classification are described. One or more holiday score are assigned to a set of digital media assets. The one or more holiday scores are calculated based on weighted holiday metrics determined based on characteristics of the set of digital assets. A holiday classification is assigned based on the one or more holiday score, and the set of digital media assets are provided for presentation in accordance with the holiday classification.
    Type: Application
    Filed: December 6, 2022
    Publication date: June 8, 2023
    Inventors: Timothy Huang, Nicholas Kistner