公开(公告)号：US20240419941A1

公开(公告)日：2024-12-19

申请号：US18210553

申请日：2023-06-15

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Ze He ,  Dian Ding ,  Hechao Sun

IPC: G06N3/045 ,  G06N3/084 ,  G06Q10/087 ,  G06Q20/40 ,  G06Q30/0601

Abstract: Embodiments relate to an automatic detection of fraudulent behavior for a transaction at an online system. The online system requests a large language model (LLM) to determine, based on a prompt input into the LLM, information about a refund event for a first order placed by a user of the online system. The online system accesses a computer model trained to detect a fraudulent behavior associated with an order placed with the online system. The online system applies the computer model to determine a score associated with the refund event, based on the information about the refund event received from the LLM. The online system determines, based on the score, whether the refund event was due to a fraudulent behavior of the user. The online system performs at least one action associated with the online system, based on the determination whether the refund event was due to the fraudulent behavior.

公开(公告)号：US20240378656A1

公开(公告)日：2024-11-14

申请号：US18661317

申请日：2024-05-10

Applicant: Maplebear Inc.

Inventor： Ze He ,  Dian Ding ,  Hechao Sun

IPC: G06Q30/0601 ,  G06V10/774

Abstract: A computer system receives an image from a picker, which indicates an out-of-stock target item and potential replacements items. The system provides, to a machine learning model, a prompt requesting identification of the target item and the potential replacement items in the image. The system receives identification of the target item and a list of potential replacement items in the image. The system generates a first list of potential replacements items based on the list of potential replacement items identified in the image and a second list of replacement items from the target item by applying one or more replacement models to the identified target item. The system may merge the two lists and assign replacement scores to each item in the merged list to create a list of recommended replacement items. The system generates a message based on the image and the list of recommended replacement items.