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

Claim 0:
1. A method comprising:
at a computer system comprising at least one processor and memory:
storing a first plurality of examples representing interactions with an online system by a first plurality of users, wherein each example of the first plurality of examples comprises: user data describing characteristics of a user of the first plurality of users, a treatment label indicating whether the user has been treated with a treatment, and an action label indicating whether the user performed a target action associated with the treatment;
training an incrementality model using the first plurality of examples, wherein the incrementality model is a machine-learning model trained to generate predicted incrementality scores for users based on user data, and wherein a predicted incrementality score for a user is a score representing a likelihood that the treatment will cause the user to perform the target action;
computing a cumulative incrementality score for the incrementality model based on a second plurality of examples, wherein the cumulative incrementality score represents a section of an incrementality curve above a threshold predicted incrementality score, and wherein each example of the second plurality of examples comprises: user data describing characteristics of a user of a second plurality of users, a treatment label indicating whether the user has been treated with a treatment, and an action label indicating whether the user performed a target action associated with the treatment; and
storing the incrementality model and the cumulative incrementality score for the incrementality model.