公开(公告)号：US20240394771A1

公开(公告)日：2024-11-28

申请号：US18202768

申请日：2023-05-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shrikar Archak ,  Shishir Kumar Prasad

IPC: G06Q30/0601 ,  G06Q30/08

Abstract: Embodiments relate to automatically generating a basket of items to be recommended to a user of an online system. The online system communicates a basket opportunity to a group of retailers, wherein the basket opportunity defines a plurality of item categories each associated with a respective item to be included in a basket. The online system receives, from each retailer in response to the basket opportunity, a respective bid of a plurality of bids for the basket opportunity. The online system applies a computer model to each bid to determine a score for each bid and selects a winning bid for the user based on determined scores for the bids. For each item category, the online system populates the basket with a respective item from a catalog of a retailer that is associated with the winning bid. The online system then presents the basket with items to the user.

公开(公告)号：US20240249333A1

公开(公告)日：2024-07-25

申请号：US18100739

申请日：2023-01-24

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Sharath Rao Karikurve ,  Ramasubramanian Balasubramanian ,  Shrikar Archak

IPC: G06Q30/0601 ,  G06N20/00

CPC classification number: G06Q30/0631 ,  G06N20/00

Abstract: An online concierge system may receive, from a customer, a selection of an item that is associated with a first brand. The online concierge system may extract features associated with the customer and features associated with the item. The online concierge system may input the extracted features to a machine learning model that is trained to predict a degree of association between the customer and the first brand associated with the item. The online concierge system may identify candidate alternatives for replacing the item. The candidate alternatives may include a first alternative that is associated with the first brand and a second alternative that is associated with a second brand different from the first brand. The online concierge system may select, based on the degree of association between the customer and the first brand, one or more candidate alternatives to be presented to the customer to replace the item.

公开(公告)号：US20220237679A1

公开(公告)日：2022-07-28

申请号：US17160759

申请日：2021-01-28

Applicant: Maplebear, Inc.(dba Instacart)

Inventor： Tejaswi Tenneti ,  Aditya Subramanian ,  Shrikar Archak ,  Tyler Russell Tate ,  Jonathan Lennart Bender

IPC: G06Q30/06 ,  G06F16/901 ,  G06F16/2457 ,  G06F16/248

Abstract: An online concierge system generates a graph connecting items with attributes of the items and other items. Hence, the graph includes nodes corresponding to attributes and nodes corresponding to items, with an item connected to attributes of the item in the graph. 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 compares different combinations of terms to the graph to determine connections between different combinations of terms in the graph. Based on measures of connectedness between combinations of terms and connections in the graph, items are identified from one or more combinations of terms. Information about the identified items is presented to the customer.

公开(公告)号：US20210192596A1

公开(公告)日：2021-06-24

申请号：US16725503

申请日：2019-12-23

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Shrikar Archak ,  Sharath Rao

IPC: G06Q30/06 ,  G06F16/2457 ,  G06F16/248

Abstract: In an online concierge system, a customer adds items to an online shopping cart. The online concierge system determines key ingredients from the items in the online shopping cart by mapping the items to generic items and removing non-ingredient items and staple items. The online concierge system retrieves recipes including at least one of the key ingredients. The online concierge system determines complementary ingredients based on the other ingredients in the recipes and calculates co-occurrence scores for the complementary ingredients. Using the co-occurrence scores, the online concierge system ranks the complementary ingredients and sends for display a subset of the complementary ingredients as recommended items.