公开(公告)号：US20230316381A1

公开(公告)日：2023-10-05

申请号：US18207632

申请日：2023-06-08

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Manmeet Singh ,  Tyler Russell Tate ,  Tejaswi Tenneti ,  Sharath Rao Karikurve

IPC: G06Q30/0601

CPC classification number: G06Q30/0631 ,  G06Q30/0627 ,  G06Q30/0633 ,  G06Q30/0639 ,  G06Q30/0629

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 maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

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：US11625434B2

公开(公告)日：2023-04-11

申请号：US17112395

申请日：2020-12-04

Applicant: Maplebear, Inc.

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

IPC: G06F16/90 ,  G06F16/901 ,  G06F16/903 ,  G06F16/9032 ,  G06F16/9035

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：US11354722B1

公开(公告)日：2022-06-07

申请号：US17316250

申请日：2021-05-10

Applicant: Maplebear, Inc.

Inventor： Manmeet Singh ,  Tyler Russell Tate ,  Tejaswi Tenneti ,  Sharath Rao Karikurve

IPC: G06Q30/00 ,  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 maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

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.