公开(公告)号：US12266005B2

公开(公告)日：2025-04-01

申请号：US18072316

申请日：2022-11-30

Applicant: Maplebear Inc.

Inventor： Ramasubramanian Balasubramanian ,  Lynn Fink ,  Alexandra Hart ,  Sanam Alavizadeh ,  Lauren Scully ,  Samuel Lederer ,  Anna Vitti ,  Lukasz Czekaj ,  Joseph Olivier ,  Michael Prescott ,  Jeong Eun Woo ,  Nicole Yin Chuen Lee Altman

IPC: G06Q30/06 ,  G06Q30/0601 ,  G06Q30/08

Abstract: An online concierge system suggests replacement items when an ordered item may be unavailable. To promote similarity of sources between the replacement item with the ordered item, candidate replacement items are scored, in part, based on a source similarity score based on a source of the candidate replacement item and a source of the ordered item. The source similarity score may be determined by a computer model based on user interactions with item sources. The similarity score may be based on source embeddings that may be determined based on respective item embeddings or may be determined by training source embeddings directly from user-source interactions. The similarity score for a candidate replacement item may be combined with a replacement score indicating the user's likelihood of selecting the candidate replacement item as a replacement to yield a total score for selection as suggestion as a replacement for the ordered item.

公开(公告)号：US20250029173A1

公开(公告)日：2025-01-23

申请号：US18771748

申请日：2024-07-12

Applicant: Maplebear Inc.

Inventor： Riddhima Sejpal ,  Luis Manrique ,  Shiyun Lu ,  Vikrant Verma ,  Nicole Yin Chuen Lee Altman

IPC: G06Q30/0601

Abstract: An online system leverages a machine-learning model to craft personalized meal plans for users. The system generates and presents an interface displaying categories of user preferences. The system receives, from the user via the interface, user preferences for the meal plan. The system generates a prompt including a request to generate the meal plan for the user and the user preferences. The system provides the prompt to the machine-learning model and receives, as output, a meal plan that comprises a list of meals and a list of ingredients for each meal. The system presents the meal plan to the user. The system receives user input to add ingredients to an order and generates an order including the lists of ingredients corresponding to the selected meals.

公开(公告)号：US20240177211A1

公开(公告)日：2024-05-30

申请号：US18072316

申请日：2022-11-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Ramasubramanian Balasubramanian ,  Lynn Fink ,  Alexandra Hart ,  Sanam Alavizadeh ,  Lauren Scully ,  Samuel Lederer ,  Anna Vitti ,  Lukasz Czekaj ,  Joseph Olivier ,  Michael Prescott ,  Jeong Eun Woo ,  Nicole Yin Chuen Lee Altman

IPC: G06Q30/0601 ,  G06Q30/08

CPC classification number: G06Q30/0631 ,  G06Q30/0629 ,  G06Q30/08

Abstract: An online concierge system suggests replacement items when an ordered item may be unavailable. To promote similarity of sources between the replacement item with the ordered item, candidate replacement items are scored, in part, based on a source similarity score based on a source of the candidate replacement item and a source of the ordered item. The source similarity score may be determined by a computer model based on user interactions with item sources. The similarity score may be based on source embeddings that may be determined based on respective item embeddings or may be determined by training source embeddings directly from user-source interactions. The similarity score for a candidate replacement item may be combined with a replacement score indicating the user's likelihood of selecting the candidate replacement item as a replacement to yield a total score for selection as suggestion as a replacement for the ordered item.