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    IDENTIFYING CANDIDATE REPLACEMENT ITEMS FROM A GRAPH IDENTIFYING RELATIONSHIPS BETWEEN ITEMS MAINTAINED BY AN ONLINE CONCIERGE SYSTEM
    61.
    发明申请
    IDENTIFYING CANDIDATE REPLACEMENT ITEMS FROM A GRAPH IDENTIFYING RELATIONSHIPS BETWEEN ITEMS MAINTAINED BY AN ONLINE CONCIERGE SYSTEM 有权

    公开(公告)号：US20220114640A1

    公开(公告)日：2022-04-14

    申请号：US17069741

    申请日：2020-10-13

    Applicant: Maplebear, Inc. (dba Instacart)

    Inventor： Abhay Pawar

    IPC: G06Q30/06 ,  G06Q30/02 ,  G06N20/00

    Abstract: An online concierge system maintains a graph of items available for purchase. The graph maintains edges between items, where an edge between an item and an additional item indicates that one or more customers have previously replaced the item with the additional item. The edge between the item and the additional item also identifies a number of times customers have replaced the item with the additional item. When a customer orders an item, the online concierge system traverses the graph of items to identify candidate replacement items for the ordered item and identifies one or more of the candidate replacement items to the customer. When identifying the candidate replacement items, the online concierge system accounts for distance between the ordered item and different candidate replacement items in the item graph.

    GEOFENCING TO REDUCE WAIT TIMES FOR ORDER PICKUPS
    63.
    发明申请
    GEOFENCING TO REDUCE WAIT TIMES FOR ORDER PICKUPS 有权

    公开(公告)号：US20210133665A1

    公开(公告)日：2021-05-06

    申请号：US16670447

    申请日：2019-10-31

    Applicant: Maplebear, Inc. (dba Instacart)

    Inventor： Daniel Hsiao ,  Jason Scott ,  Michael Jablonski ,  Nima Zahedi

    IPC: G06Q10/08 ,  G06Q10/10 ,  H04W4/021 ,  H04W68/00 ,  H04W4/029

    Abstract: An online concierge system receives an order from a customer. The online concierge system transmits a notification to the customer's client device indicating that the order is ready for pick up and receives location data from the customer's client device as the customer travels to a pickup location. In response to the online concierge system receiving a first indication that the customer has entered an outer geofence, the online concierge system transmits a second notification to a runner's client device that the customer is in transit. In response to the online concierge system receiving a second indication that the customer has entered an inner geofence, the online concierge system starts a timer. When the online system receives a confirmation that the order has been picked up by the customer, it stops the timer and computes a wait time for pick up of the order.

    MODIFYING RANKINGS OF ITEMS IN SEARCH RESULTS BASED ON ITEM AVAILABILITIES AND SEARCH QUERY ATTRIBUTES
    65.
    发明申请
    MODIFYING RANKINGS OF ITEMS IN SEARCH RESULTS BASED ON ITEM AVAILABILITIES AND SEARCH QUERY ATTRIBUTES 有权

    公开(公告)号：US20250005654A1

    公开(公告)日：2025-01-02

    申请号：US18217329

    申请日：2023-06-30

    Applicant: Maplebear Inc. (dba Instacart)

    Inventor： Raochuan Fan ,  Prakash Putta ,  Vinesh Reddy Gudla ,  Nkemakonam Paulet Okoye ,  Taesik Na ,  Tejaswi Tenneti

    IPC: G06Q30/0601

    Abstract: An online concierge system allows a customer to search items offered by a retailer by providing a set of items to the customer based on a search query. To account for varying availability of items at the retailer, the online concierge system modifies rankings in the set of items having less than a threshold predicted availability at the retailer. This reduces a likelihood selection of an item likely to be unavailable at the retailer. To maintain customer confidence in the items selected based on the search results by maintaining visibility of items relevant to the search query, the online concierge system determines how much an item is modified within the set based on search query attributes, item attributes, or customer characteristics. This allows different items to be adjusted different amounts in a set based on the item, as well as the search query for which the item was selected.

    Machine Learning Model for Predicting Likelihoods of Events on Multiple Different Surfaces of an Online System
    66.
    发明申请
    Machine Learning Model for Predicting Likelihoods of Events on Multiple Different Surfaces of an Online System 有权

    公开(公告)号：US20250005381A1

    公开(公告)日：2025-01-02

    申请号：US18217356

    申请日：2023-06-30

    Applicant: Maplebear Inc. (dba Instacart)

    Inventor： Peng Qi ,  Cheng Jia ,  Xiyu Wang ,  Qiao Jiang ,  Sharad Gupta ,  David Pal ,  Joseph Haraldson ,  Zhenbang Chen

    IPC: G06N5/022

    Abstract: An online system manages presentation of content items in various presentation contexts such as when the users are browsing pages or when the users have entered a search query. The online system trains a single unified machine learning model that predicts one or more likelihoods of a target event associated with presentation of a content item in the different presentation contexts. The learned model is applied to a set of candidate content items associated with a presentation opportunity in a specific context. Features that are inapplicable to the specific context may be masked when applying the model. The online system may select between the candidate content items based on the predicted likelihoods using the model trained across the multiple different contexts, such that the prediction for one context may be based in part on learned outcomes in other related contexts.

    SUGGESTING FULFILLMENT SOURCES FOR A USER AT A NEW LOCATION BASED ON USER'S HISTORICAL ACTIVITY
    67.
    发明申请
    SUGGESTING FULFILLMENT SOURCES FOR A USER AT A NEW LOCATION BASED ON USER'S HISTORICAL ACTIVITY 有权

    公开(公告)号：US20240428315A1

    公开(公告)日：2024-12-26

    申请号：US18213764

    申请日：2023-06-23

    Applicant: Maplebear Inc. (dba Instacart)

    Inventor： Sharath Rao Karikurve ,  Ramasubramanian Balasubramanian

    IPC: G06Q30/0601

    Abstract: An online system provides a platform for users to place orders at different physical retailers. When a user moves from one location to another (e.g., the user physically moves or is traveling), where the user's preferred retailer is not available, the online system suggests a new retailer for the user and optionally items to purchase at the new retailer. When a user accesses the online system from a new location, the system obtains the user's previous purchases and computes a repurchase probability. The system then ranks candidate new retailers in the new location based on their match to the likely repurchased items. To suggest new items to buy at the new retailer, the system uses existing replacement models to suggest replacements for the items that the user is likely to buy based on previous purchases.

    WAREHOUSE ITEM ASSORTMENT COMPARISON AND DISPLAY CUSTOMIZATION
    68.
    发明公开
    WAREHOUSE ITEM ASSORTMENT COMPARISON AND DISPLAY CUSTOMIZATION 审中-公开

    公开(公告)号：US20240362580A1

    公开(公告)日：2024-10-31

    申请号：US18141394

    申请日：2023-04-29

    Applicant: Maplebear Inc. (dba Instacart)

    Inventor： Kenneth Jason Sanchez ,  Haochen Luo ,  Rishab Saraf ,  Eric Hermann ,  Dario Fidanza

    IPC: G06Q10/087 ,  G06Q30/0202

    CPC classification number: G06Q10/087 ,  G06Q30/0202

    Abstract: An online system evaluates different item assortments for a physical warehouse having limited capacity to stock items. Each item assortment is stocked at the physical warehouse in proportion to an assortment split weight. The items at the warehouse are available for users to order, for example to be gathered by a picker and physically delivered to users near the warehouse. Rather than display all items actually stocked at the physical warehouse to all users, the different item assortments are displayed to different users. Users may order items from the assigned item assortment and, because both item assortments are actually stocked at the physical warehouse, orders from either item assortment may be successfully fulfilled for delivery. The different user interfaces thus permit evaluation of the preferred item assortment by users while maintaining expected delivery capability and while using the same storage capacity of the physical warehouse.

    MANAGING APPEASEMENT REQUESTS USING USER SEGMENTATION
    70.
    发明公开
    MANAGING APPEASEMENT REQUESTS USING USER SEGMENTATION 审中-公开

    公开(公告)号：US20240311840A1

    公开(公告)日：2024-09-19

    申请号：US18184565

    申请日：2023-03-15

    Applicant: Maplebear Inc. (dba Instacart)

    Inventor： Qing Maio ,  Robert Border

    IPC: G06Q30/016 ,  G06F18/23213

    CPC classification number: G06Q30/016 ,  G06F18/23213 ,  G06Q10/0837

    Abstract: An online concierge system determines whether a user's appeasement request is fraudulent. The online concierge system compares the user's appeasement request rate to the appeasement request rates of similar users in a user segment identified with a user segmentation model. The online concierge system computes an appeasement model that represents the appeasement request rates of the users in the user segment. The online concierge system computes an outlier score for the user based on the appeasement model. The online concierge system compares the outlier score to a threshold. If the outlier score exceeds the threshold, the online concierge system may determine that the appeasement request is not likely fraudulent and thus applies an appeasement action to the user. If the outlier score does not exceed the threshold, the online concierge system may determine that the appeasement request is likely fraudulent and thus applies a security action to the user.

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