公开(公告)号：US20240403938A1

公开(公告)日：2024-12-05

申请号：US18326900

申请日：2023-05-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Tilman Drerup ,  Shishir Kumar Prasad ,  Zoheb Hajiyani ,  Luis Manrique

IPC: G06Q30/0601 ,  G06N20/00

Abstract: An online system predicts replacement items for presentation to a user using a machine-learning model. The online system receives interaction data describing a user's interaction with the online system. In particular, the interaction data describes an initial item that the user added to their item list. The online system identifies a set of candidate items that could be presented to the user as potential replacements for the initially-added item. The online system applies a replacement prediction model to each of these candidate items to generate a replacement score for the candidate items. The online system selects a proposed replacement item and transmits that item to the user's client device for display to the user. If the user selects the proposed replacement item, the online concierge system replaces the initial item with the proposed replacement item in the user's item list.

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.