Patents by Inventor Michael Yoshizawa

Michael Yoshizawa 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).

  • EFFICIENCY OF A TRANSPORTATION MATCHING SYSTEM USING GEOCODED PROVIDER MODELS
    Publication number: 20200082313
    Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.
    Type: Application
    Filed: September 7, 2018
    Publication date: March 12, 2020
    Inventors: Davide Crapis, Michael Yoshizawa, Gaurav Gupta, Ehud Milo, Akshay Balwally, Jia Yan
  • EFFICIENCY OF A TRANSPORTATION MATCHING SYSTEM USING GEOCODED PROVIDER MODELS
    Publication number: 20200082315
    Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.
    Type: Application
    Filed: September 7, 2018
    Publication date: March 12, 2020
    Inventors: Davide Crapis, Michael Yoshizawa, Gaurav Gupta, Ehud Milo, Akshay Balwally, Cameron Philip Bruggeman, Benjamin Owen Dear, Benedict Kuester, Lei Tang, Jia Yan
  • EFFICIENCY OF A TRANSPORTATION MATCHING SYSTEM USING GEOCODED PROVIDER MODELS
    Publication number: 20200082314
    Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.
    Type: Application
    Filed: September 7, 2018
    Publication date: March 12, 2020
    Inventors: Davide Crapis, Michael Yoshizawa, Gaurav Gupta, Ehud Milo, Akshay Balwally, Jia Yan