Patents by Inventor Leo Kwan

Leo Kwan 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).

  • Using a predictive model to identify context features causing above-average tip amount
    Patent number: 12265980
    Abstract: An online system receives information describing an order placed by a user of the online system and a set of contextual features associated with servicing the order. The online system also retrieves a set of user features associated with the user. The online system accesses a machine learning model trained to predict a tip amount the user is likely to provide for servicing the order and applies the machine learning model to a set of inputs, in which the set of inputs includes the information describing the order, the set of user features, and the set of contextual features. The online system then determines a suggested tip amount for servicing the order based on the predicted tip amount.
    Type: Grant
    Filed: August 31, 2023
    Date of Patent: April 1, 2025
    Assignee: Maplebear Inc.
    Inventors: Shuo Feng, Chia-Eng Chang, Aoshi Li, Pak Hong Wong, Leo Kwan, Mengyu Zhang, Van Nguyen, Aman Jain, Ziwei Shi, Ajay Pankaj Sampat, Rucheng Xiao
  • USING A PREDICTIVE MODEL TO DETERMINE A SUGGESTED TIP FOR AN ORDER PLACED WITH AN ONLINE SYSTEM
    Publication number: 20250078105
    Abstract: An online system receives information describing an order placed by a user of the online system and a set of contextual features associated with servicing the order. The online system also retrieves a set of user features associated with the user. The online system accesses a machine learning model trained to predict a tip amount the user is likely to provide for servicing the order and applies the machine learning model to a set of inputs, in which the set of inputs includes the information describing the order, the set of user features, and the set of contextual features. The online system then determines a suggested tip amount for servicing the order based on the predicted tip amount.
    Type: Application
    Filed: August 31, 2023
    Publication date: March 6, 2025
    Inventors: Shuo Feng, Chia-Eng Chang, Aoshi Li, Pak Hong Wong, Leo Kwan, Mengyu Zhang, Van Nguyen, Aman Jain, Ziwei Shi, Ajay Pankaj Sampat, Rucheng Xiao