Patent ID: 11972464
Assignee: MAPLEBEAR INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A non-transitory computer-readable medium storing a set of parameters for a machine learning model, wherein the set of parameters are generated by a process comprising:
storing the set of parameters;
accessing a set of training examples at an online concierge system, where each training example in the set of training examples comprises:
user data describing characteristics of a user;
a treatment label indicating whether the user has been treated with a treatment; and
an action label indicating whether the user has performed a target action associated with the treatment; and

for each training example in the set of training examples:
applying the machine learning model to the user data of the training example to generate a predicted incrementality score, wherein the predicted incrementality score represents a likelihood that the user will perform a target action on the online concierge system;
generating a loss score by applying a loss function to the predicted incrementality score, the treatment label, and the action label, wherein the loss function optimizes the machine learning model to predict whether a user is a member of a class of users, wherein the class of users comprises:
users who have been treated with the treatment and have performed the target action; and
users who have not been treated with the treatment and have not performed the target action; and

updating the set of parameters based on the loss score.