Patents by Inventor Gustavo Bagdadi de Castro

Gustavo Bagdadi de Castro 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: 20240046164
    Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.
    Type: Application
    Filed: October 19, 2023
    Publication date: February 8, 2024
    Inventors: Neil Chagas Fernandes, Aditya Somani, Adnan Akil, Pablo Bellver, Jieying Chen, Archisman Roy, Gustavo Bagdadi de Castro, Norbert Y. Hu, Talal Toukan, Lu Huang, Yuh-Jie Eunice Chen
  • Patent number: 11816603
    Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.
    Type: Grant
    Filed: September 22, 2020
    Date of Patent: November 14, 2023
    Assignee: Uber Technolgies, Inc.
    Inventors: Neil Chagas Fernandes, Aditya Somani, Adnan Akil, Pablo Bellver, Jieying Chen, Archisman Roy, Gustavo Bagdadi de Castro, Norbert Y. Hu, Talal Toukan, Lu Huang, Yuh-Jie Eunice Chen
  • Publication number: 20220092484
    Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.
    Type: Application
    Filed: September 22, 2020
    Publication date: March 24, 2022
    Inventors: Neil Chagas Fernandes, Aditya Somani, Adnan Akil, Pablo Bellver, Jieying Chen, Archisman Roy, Gustavo Bagdadi de Castro, Norbert Y. Hu, Talal Toukan, Lu Huang, Yuh-Jie Eunice Chen