公开(公告)号：US20250086685A1

公开(公告)日：2025-03-13

申请号：US18243600

申请日：2023-09-07

Applicant: Maplebear Inc.

Inventor： Shubhanshu Mishra ,  Gia Young ,  Jennie Morgan Burger ,  Joseph Olivier ,  Brent Luna ,  Yuanzheng Zhu ,  Mackenzie Cala ,  Armand Raquel-Santos ,  David Zandman ,  Mia Martinez Barnett ,  Callie Bleckner ,  Mohammad Abdul-Rahim

IPC: G06Q30/0601 ,  G06V20/50

Abstract: An online concierge system assists users in identifying additional information about items in an image. Image regions are identified in the image that may correspond to unknown items and an item search space is determined for detecting items in the image regions based on a context of the image, such as items in a warehouse or a list of items delivered to a customer. The identified items are used to retrieve relevant item information that is included in a prompt for a language model to extract relevant information for the item. As such, the process may automatically process the image into relevant textual information about the pictured items. Applications may be used to assist vision-impaired users in distinguishing delivered items or quickly identifying and evaluating relevant information about items.

公开(公告)号：US20250156925A1

公开(公告)日：2025-05-15

申请号：US18509882

申请日：2023-11-15

Applicant: Maplebear Inc.

Inventor： Brent Luna ,  Mridul Singhai ,  Nathan Marks ,  Lukasz Czekaj ,  Joseph Olivier

IPC: G06Q30/0601

Abstract: A trained computer model to identify a list of representative previously purchased items for recommendation to a user of an online system. The online system clusters, based on a similarity score for each pair of items, a set of previously purchased items into multiple clusters. The online system accesses a computer model trained to predict a likelihood of engagement by the user for each item in each cluster, and applies the computer model to predict, based on one or more features of each item, the likelihood of engagement for each item in each cluster. The online system generates, based on the likelihood of engagement, a score for each item in each cluster. The online system selects, based on the score for each item, a representative item from each cluster. The online system causes a device associated with the user to display the representative item from each cluster.

公开(公告)号：US20240378654A1

公开(公告)日：2024-11-14

申请号：US18660901

申请日：2024-05-10

Applicant: Maplebear Inc.

Inventor： Joseph Olivier ,  Lukasz Czekaj ,  Domenico Matteo ,  Brent Luna ,  Mark Ding ,  Mathieu Hartvick

IPC: G06Q30/0601 ,  G06Q30/0282

Abstract: An online system determines whether to recommend a replacement item to a user based on a predicted sentiment score. The online system receives one or more comments from user feedback on the replacement items. The online system generates a prompt for each user comment for input to a machine-learned model. The online system generates a sentiment score for the ordered item and a replacement item based on the inferred sentiments by the model serving system. Using the sentiment score, the online system determines whether to recommend the replacement item.