公开(公告)号：US20230222162A1

公开(公告)日：2023-07-13

申请号：US18185091

申请日：2023-03-16

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Jonathan Lennart Bender ,  Tyler Russell Tate ,  Tejaswi Tenneti ,  Qingyuan Chen

IPC: G06Q30/0201 ,  G06Q30/0601

CPC classification number: G06Q30/0201 ,  G06Q30/0641 ,  G06Q30/0635

Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. Example attributes include a brand, a category, a department, or any other suitable information about the item. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and identifies item nodes and attribute nodes related to the search query. The online concierge system identifies item nodes and attribute nodes that are likely to result in a conversion. Information about the identified nodes is presented to the customer. The customer may select an item node to purchase the item, or an attribute node to execute a new search query based on terms associated with the attribute node.

公开(公告)号：US20230186360A1

公开(公告)日：2023-06-15

申请号：US17549774

申请日：2021-12-13

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Joey Loi ,  Viswa Mani Kiran Peddinti ,  Eugene Agronin ,  John Salaveria

IPC: G06Q30/06 ,  G06F16/33

CPC classification number: G06Q30/0613 ,  G06F16/3334 ,  G06Q30/0641

Abstract: An online concierge system allows users to add items to an order and provide instructions to a shopper specifying attributes for selecting an item in the order from a warehouse. To simplify entry of the instructions, the online concierge system converts previously received instructions comprising unstructured text into structured suggestions by extracting words from the previously received instructions. The suggestions are associated with items or generic item descriptions. When a user includes an item in an order, the online concierge system displays one or more suggestions associated with the item as selectable options in an interface to simplify specification of instructions for the item.

公开(公告)号：US20230136886A1

公开(公告)日：2023-05-04

申请号：US17514177

申请日：2021-10-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Chuanwei Ruan ,  Ramasubramanian Balasubramanian ,  Peng Qi

IPC: G06Q30/02 ,  G06Q10/08

Abstract: An online concierge system uses a model to predict a user's interaction with an item, based on a user embedding for the user and an item embedding for the item. For the model to account for more recent interactions by users with items without retraining the model, the online concierge system generates updated item embeddings and updated user embeddings that account for the recent interactions by users with items. The online concierge system compares performance of the model using the updated item embeddings and the updated user embeddings relative to performance of the model using the existing item embeddings and user embeddings. If the performance of the model decreases, the online concierge system adjusts the updated user embeddings and the updated item embeddings based on the change in performance of the model. The adjusted updated user embeddings and adjusted updated item embeddings are stored for use by the model.

公开(公告)号：US20230117762A1

公开(公告)日：2023-04-20

申请号：US17503245

申请日：2021-10-15

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Manmeet Singh ,  Tejaswi Tenneti

IPC: G06Q30/06 ,  G06N3/02

Abstract: An online concierge system improves on methods for presenting content to users. The online concierge system generates a user embedding for a user and recipe embeddings for candidate recipes. The online concierge system generates a context embedding by applying a context embedding model to context data received from a user mobile application. The online concierge system calculates an overall score for each candidate recipe based on a user score and a context score. The user score is calculated based on the user embedding and a recipe embedding for the candidate recipe. The context score is calculated based on the generated context embedding and the recipe embedding for the candidate recipe. The online system selects a recipe for presentation to the user based on the overall scores. The online concierge system trains the context embedding model using a loss function that is based on the user score and the context score.

公开(公告)号：US20230102789A1

公开(公告)日：2023-03-30

申请号：US17488291

申请日：2021-09-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Leho Nigul ,  Shaun Maharaj

IPC: G06Q30/06 ,  G06Q30/02 ,  G06F16/2457 ,  G06F16/22 ,  G06Q10/06

Abstract: An online concierge system determines an emotion of a user from inputs received from the user and other contextual information about a user to select items to identify to the user for an order. The online concierge system logs historical data about items included in orders by the user and corresponding emotions of the user and contextual information for the user when the items were included in orders. Subsequently, when the user requests to create an order, the online concierge system determines an emotion for the user and contextual information for the user and selects one or more items included in prior orders when the user had the same emotion and had similar contextual information. The online concierge system transmits information describing one or more of the selected items to a client device of the user for presentation.

公开(公告)号：US20230086846A1

公开(公告)日：2023-03-23

申请号：US17478411

申请日：2021-09-17

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Tejaswi Tenneti ,  Esther Vasiete ,  Nitin Pasari

IPC: G06Q30/06 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/9538 ,  G06N3/08

Abstract: An online concierge system displays a search interface to users. The search interface receives s prefix of a search query from a user and determines terms for completing the prefix, with the terms displayed to a user as suggestions via the search interface. The online concierge system determines probabilities of the user adding items corresponding to terms for completing the prefix when different terms are displayed. The online concierge system displays the terms for completing the prefix in an order based on the determined probabilities of including a corresponding item in an order rather than in an order based on likelihoods of the user selecting different terms.

公开(公告)号：US20230044773A1

公开(公告)日：2023-02-09

申请号：US17396290

申请日：2021-08-06

Applicant: Maplebear Inc.(dba Instacart)

Inventor： Omar Alonso ,  Wei Peng

IPC: G06Q30/06

Abstract: An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system generates a recipe vector for each recipe based on items included in a recipe. A dimension of a recipe vector identifies an item included in a corresponding recipe and may include an importance score of the item to the recipe. The importance score of an item to a recipe is based on a term frequency of the item in the recipe and an inverse document frequency of the item across multiple recipes. The online concierge system determines overlap between items in recipe vectors an order vector generated from items included in an order from a user and selects a recipe for the user based on overlapping items in the recipe vector and in the order vector.

公开(公告)号：US20230034221A1

公开(公告)日：2023-02-02

申请号：US17389281

申请日：2021-07-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Houtao Deng ,  Ji Chen ,  Zi Wang ,  Soren Zeliger ,  Ganesh Krishnan ,  Wa Yuan ,  Michael Scheibe

IPC: G06Q30/02 ,  G06Q30/06 ,  G06Q10/06 ,  G06N20/00 ,  G06N5/04

Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.

公开(公告)号：US20220410955A1

公开(公告)日：2022-12-29

申请号：US17821876

申请日：2022-08-24

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Lin Gao ,  Michael Joseph Sanzari ,  Yilin Huang ,  Shiyuan Yang ,  Ahmed Beshry

IPC: B62B5/00 ,  B62B3/14 ,  G01G21/00 ,  G01G19/12

Abstract: Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.

公开(公告)号：US20220309264A1

公开(公告)日：2022-09-29

申请号：US17703076

申请日：2022-03-24

Applicant: Maplebear Inc. (dba Instacart)

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

IPC: G06K7/14 ,  G06K9/00 ,  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.