公开(公告)号：US20250094956A1

公开(公告)日：2025-03-20

申请号：US18961337

申请日：2024-11-26

Applicant: Maplebear Inc.

Inventor： Shiyuan Yang ,  Shray Chandra

IPC: G06Q20/20 ,  G01G19/414 ,  G06Q20/18 ,  G06T7/10 ,  G06T7/50 ,  G06V10/10 ,  G06V10/22 ,  G06V10/70 ,  G06V10/94 ,  G06V20/60 ,  G06V20/64 ,  G07G1/00 ,  H04N23/90

Abstract: An item recognition system uses a top camera and one or more peripheral cameras to identify items. The item recognition system may use image embeddings generated based on images captured by the cameras to generate a concatenated embedding that describes an item depicted in the image. The item recognition system may compare the concatenated embedding to reference embeddings to identify the item. Furthermore, the item recognition system may detect when items are overlapping in an image. For example, the item recognition system may apply an overlap detection model to a top image and a pixel-wise mask for the top image to detect whether an item is overlapping with another in the top image. The item recognition system notifies a user of the overlap if detected.

公开(公告)号：US20250094749A1

公开(公告)日：2025-03-20

申请号：US18969074

申请日：2024-12-04

Applicant: Maplebear Inc.

Inventor： Shiyuan Yang ,  Yilin Huang ,  Wentao Pan ,  Xiao Zhou

IPC: G06K7/14 ,  G06T7/10

Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.

公开(公告)号：US20250086395A1

公开(公告)日：2025-03-13

申请号：US18244098

申请日：2023-09-08

Applicant: Maplebear Inc.

Inventor： Prithvishankar Srinivasan ,  Saurav Manchanda ,  Shih-Ting Lin ,  Shishir Kumar Prasad ,  Riddhima Sejpal ,  Luis Manrique ,  Min Xie

IPC: G06F40/30

Abstract: Embodiments relate to utilizing a language model to automatically generate a novel recipe with refined content, which can be offered to a user of an online system. The online system generates a first prompt for input into a large language model (LLM), the first prompt including a plurality of task requests for generating initial content of a recipe. The online system requests the LLM to generate, based on the first prompt input into the LLM, the initial content of the recipe. The online system generates a second prompt for input into the LLM, the second prompt including the initial content of the recipe and contextual information about the recipe. The online system requests the LLM to generate, based on the second prompt input into the LLM, refined content of the recipe. The online system stores the recipe with the refined content in a database of the online system.

公开(公告)号：US20250086189A1

公开(公告)日：2025-03-13

申请号：US18367185

申请日：2023-09-12

Applicant: Maplebear Inc.

Inventor： Levi Boxell ,  Esther Vasiete Allas ,  Tejaswi Tenneti ,  Tilman Drerup ,  Yueyang Rao

IPC: G06F16/2457 ,  G06F16/248

Abstract: A computer system allowing users to search for items of interest provides a search query interface. The system receives characters of a search query in the search interface as the user enters the characters and interactively calculates, ranks, and displays a set of possible search query options from which the user can select. To rank the set of possible search query options, the system modifies rankings of candidate search queries based on factors associated with third parties. More specifically, contextual relevance scores are computed for the candidate search queries based on the context, such as a user to whom the search results are provided. These contextual relevance scores are in turn adjusted using factors associated with third parties, such as values calculated based on consideration offered by third parties. Users are shown the search query options, ranked in order of the adjusted relevance scores, as possible query selections.

公开(公告)号：US20250069126A1

公开(公告)日：2025-02-27

申请号：US18236342

申请日：2023-08-21

Applicant: Maplebear Inc.

Inventor： Madeline Mesard ,  Kevin McCullough ,  Ryan Martin ,  Justin Park

IPC: G06Q30/0601 ,  G06F16/22 ,  G06Q10/087

Abstract: An online system identifies recipes that are most likely to be pertinent to particular users of the system. To do so, the online system uses an association table containing degrees of association between pairs of possible ingredients, identifying degrees of association between the constituent ingredients of various possible recipes and between ingredients from known user personalization data about the user to whom recipes are being recommended. These degrees of association are used to compute a score for each recipe as a whole, with the highest scores indicating the most pertinent recipes for the user in question. The most pertinent recipes, and/or the constituent ingredients of those recipes, are recommended to the user, and the system may additionally aid the user in obtaining the full complement of ingredients for a recommended recipe. The system may also build the association table as a co-occurrence graph of pairs of items that were previously purchased together by users of the system.

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：US20250058814A1

公开(公告)日：2025-02-20

申请号：US18937402

申请日：2024-11-05

Applicant: Maplebear Inc.

Inventor： Lin Gao ,  Yilin Huang ,  Shiyuan Yang ,  Xiaofei Zhou ,  Kaiyang Chu ,  Sikun Zhu

IPC: B62B5/00 ,  B62B3/14 ,  G01C21/00 ,  G01C21/16 ,  G01S5/00 ,  G07C5/04 ,  H04W4/029

Abstract: A shopping cart's tracking system determines a baseline location of the shopping cart at a first timestamp with a wireless device located on the shopping cart detecting one or more external wireless devices (e.g., RFID tags). The shopping cart's tracking system receives wheel motion data from one or more wheel sensors coupled to one or more wheels of the shopping cart, wherein the wheel motion data describes rotation and orientation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the baseline location based on the wheel motion data. The shopping cart's tracking system determines an estimated location of the shopping cart at a second timestamp based on the baseline location and the translation. The shopping cart provides functionality with the estimated location.

公开(公告)号：US12229720B2

公开(公告)日：2025-02-18

申请号：US18524860

申请日：2023-11-30

Applicant: Maplebear Inc.

Inventor： Joey Loi ,  Viswa Mani Kiran Peddinti

IPC: G06Q10/00 ,  G06Q10/087 ,  G06Q30/06

Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.

公开(公告)号：US12222937B2

公开(公告)日：2025-02-11

申请号：US17668358

申请日：2022-02-09

Applicant: Maplebear Inc.

Inventor： Taesik Na ,  Yuqing Xie ,  Tejaswi Tenneti ,  Haixun Wang

IPC: G06F16/2453 ,  G06F16/242 ,  G06F16/2457 ,  G06F16/28 ,  G06F18/214 ,  G06N20/00

Abstract: An online concierge system maintains various items and an item embedding for each item. When the online concierge system receives a query for retrieving one or more items, the online concierge system generates an embedding for the query. The online concierge system trains a machine-learned model to determine a measure of relevance of an embedding for a query to item embeddings by generating training data of examples including queries and items with which users performed a specific interaction. The online concierge system generates a subset of the training data including examples satisfying one or more criteria and further trains the machine-learned model by application to the examples of the subset of the training data and stores parameters resulting from the further training as parameters of the machine-learned model.

公开(公告)号：US20250037101A1

公开(公告)日：2025-01-30

申请号：US18906868

申请日：2024-10-04

Applicant: Maplebear Inc.

Inventor： Shiyuan YANG ,  Lin GAO ,  Yufeng HE ,  Xiao ZHOU ,  Yilin HUANG ,  Griffin KELLY ,  Isabel TSAI ,  Ahmed BESHRY

IPC: G06Q20/20 ,  B62B3/14 ,  G07G1/00

Abstract: Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.