Patents by Inventor Rafiq Raziuddin Merchant

Rafiq Raziuddin Merchant 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).

  • PREDICTING USER STATE USING MACHINE LEARNING
    Publication number: 20240144034
    Abstract: A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
    Type: Application
    Filed: November 6, 2023
    Publication date: May 2, 2024
    Inventors: Michael O'Herlihy, Rafiq Raziuddin Merchant, Nirveek De, Jordan Allen Buettner
  • Predicting user state using machine learning
    Patent number: 11847573
    Abstract: A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
    Type: Grant
    Filed: July 30, 2020
    Date of Patent: December 19, 2023
    Assignee: Uber Technologies, Inc.
    Inventors: Michael O'Herlihy, Rafiq Raziuddin Merchant, Nirveek De, Jordan Allen Buettner
  • Predicting User State Using Machine Learning
    Publication number: 20200356903
    Abstract: A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
    Type: Application
    Filed: July 30, 2020
    Publication date: November 12, 2020
    Inventors: Michael O'Herlihy, Rafiq Raziuddin Merchant, Nirveek De, Jordan Allen Buettner
  • Predicting user state using machine learning
    Patent number: 10762441
    Abstract: A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
    Type: Grant
    Filed: December 1, 2016
    Date of Patent: September 1, 2020
    Assignee: Uber Technologies, Inc.
    Inventors: Michael O'Herlihy, Rafiq Raziuddin Merchant, Nirveek De, Jordan Allen Buettner
  • PREDICTING USER STATE USING MACHINE LEARNING
    Publication number: 20180157984
    Abstract: A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
    Type: Application
    Filed: December 1, 2016
    Publication date: June 7, 2018
    Inventors: Michael O'Herlihy, Rafiq Raziuddin Merchant, Nirveek De, Jordan Allen Buettner