公开(公告)号：US20250062003A1

公开(公告)日：2025-02-20

申请号：US18234070

申请日：2023-08-15

Applicant: Maplebear Inc.

Inventor： Nour Alkhatib ,  Karuna Ahuja

IPC: G16H20/60 ,  G06F40/40 ,  G06Q10/087 ,  G06Q30/0601

Abstract: An online system retrieves historical interaction data for a user describing objects with which the user previously interacted and health data associated with the user. The system accesses and applies a multiclass classification model to classify whether the user has each of a set of health conditions based on the historical interaction and health data. The system generates a prompt including a set of classes associated with the user and a request for a set of objects appropriate for the user, in which the set of classes indicates whether the user has each health condition and an appropriateness of an object is based on whether the user has each health condition. The system provides the prompt to a large language model to obtain a textual output, extracts one or more objects (e.g., items and/or recipes) from the output, and sends a recommendation for the object(s) for display to the user.

公开(公告)号：US20230298080A1

公开(公告)日：2023-09-21

申请号：US18108916

申请日：2023-02-13

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Tilman Drerup ,  Nour Alkhatib ,  Jonathan Gu ,  Amin Akbari ,  Changyao Chen

IPC: G06Q30/0601 ,  G06N3/092

CPC classification number: G06Q30/0617 ,  G06N3/092

Abstract: An online system may receive, from a content provider, a content presentation campaign that includes one or more objectives. The online system may define a set of one or more policy functions that automatically controls the content presentation campaign. A policy function may control one or more criteria in bidding content slots. The online system may monitor a realized outcome of the content presentation campaign. The online system may apply a reinforcement learning algorithm in adjusting the set of policy functions. The reinforcement learning algorithm adjusts one or more parameters in the set of policy functions to reduce a difference between the realized outcome and the desired outcome set by the content provider. The online system generates an adjusted set of policy functions and uses the adjusted set of policy functions in bidding content slots to present one or more content items provided by the content provider.