公开(公告)号：US20220277373A1

公开(公告)日：2022-09-01

申请号：US17188214

申请日：2021-03-01

Applicant: Maplebear, Inc. (dba Instacart)

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

IPC: G06Q30/06 ,  G06F17/18 ,  G06F16/901

Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. 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 may determine that no item nodes meet presentation criteria. The online concierge system may determine that a reformulated search query has a higher conversion probability than the search query received from the customer. The online concierge system reformulates the search query. The online concierge system selects item nodes as search results. The online concierge system transmits the search results to the customer.

公开(公告)号：US20240177212A1

公开(公告)日：2024-05-30

申请号：US18072353

申请日：2022-11-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Aditya Subramanian ,  Prakash Putta ,  Tejaswi Tenneti ,  Jonathan Lennart Bender ,  Xiao Xiao ,  Taesik Na

IPC: G06Q30/0601

CPC classification number: G06Q30/0631

Abstract: To determine search results for an online shopping concierge platform, the platform may receive, from a computing device associated with a customer of an online shopping concierge platform, data describing one or more search parameters input by the customer; identify, based at least in part on the data describing the search parameter(s), products offered by the online shopping concierge platform that are at least in part responsive to the search parameter(s); and determine, for each product and based at least in part on one or more machine learning (ML) models, a relevance of the product to one or more taxonomy levels of a product catalog associated with the online shopping concierge platform, a likelihood that the customer would be offended by inclusion of the product amongst displayed responsive search results, and/or the like.

公开(公告)号：US20230289868A1

公开(公告)日：2023-09-14

申请号：US17871790

申请日：2022-07-22

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Jonathan Lennart Bender ,  Kevin Lau ,  Silas Burton ,  Prakash Putta ,  Manmeet Singh ,  Tejaswi Tenneti

IPC: G06Q30/06 ,  G06F16/9538 ,  G06F16/906 ,  G06N5/02

CPC classification number: G06Q30/0643 ,  G06F16/9538 ,  G06F16/906 ,  G06N5/022 ,  G06F3/0482

Abstract: An online concierge system receives a search query from a client device. The online concierge system identifies a set of matching items from an item database. The matching items correspond to the received search query. The online concierge system obtains, from a hierarchical item taxonomy, a category label for each matching item. The item taxonomy relates each item in the item database to one of a plurality of category labels. The online concierge system groups the matching items by the category labels for each of the matching items into one or more groups. The online concierge system generates instructions for a user interface. The user interface includes a scrollable list of one or more carousels. Each carousel includes a scrollable list of a group of the one or more groups. The online concierge system sends the instructions of the user interface to the client device for display.

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：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：US20220179909A1

公开(公告)日：2022-06-09

申请号：US17112395

申请日：2020-12-04

Applicant: Maplebear, Inc. (dba Instacart)

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

IPC: G06F16/901 ,  G06F16/9035 ,  G06F16/9032 ,  G06F16/903

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：US20220108333A1

公开(公告)日：2022-04-07

申请号：US17486395

申请日：2021-09-27

Applicant: Maplebear Inc. (dba Instacart)

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

IPC: G06Q30/02 ,  G06F16/9535 ,  G06F16/901 ,  G06Q30/06

Abstract: An online concierge system suggests subsequent search queries based on previous search queries and whether the previous search queries resulted in conversions. The online concierge system trains a machine learning model using previous delivery orders and whether initial and subsequent search queries in the previous delivery orders resulted in conversions. 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 items related to the search query. In response to the search query resulting in a conversion, the online concierge system retrieves a conversion graph and presents a suggested subsequent search query based on the conversion graph. In response to the search query not resulting in a conversion, the online concierge system retrieves a non-conversion graph and presents a suggested subsequent search query based on the non-conversion graph.