公开(公告)号：US20230068634A1

公开(公告)日：2023-03-02

申请号：US17462767

申请日：2021-08-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Chuanwei Ruan ,  Peng Qi ,  Weian Sheng ,  Changyao Chen ,  Qiao Jiang

IPC: G06Q30/06 ,  G16H20/60 ,  G06Q50/28 ,  G06F16/9535 ,  G06N20/00

Abstract: An online concierge system allows a user to provide a nutritional goal and uses the nutritional goal as a constraint for selecting candidate orders to display to the user. From prior orders from the user, the online concierge system generates order templates including combinations of generic item descriptions corresponding to items previously included in orders from the user. From the order templates, the online concierge system generates candidate orders including specific items from a warehouse corresponding to the generic item descriptions. The online concierge system selects a set of the candidate orders that each include specific items with combined nutritional information satisfying the user's nutritional goal. Based on probabilities of the user purchasing different candidate orders of the set, the online concierge system selects one or more candidate orders of the set for display to the user.

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.

公开(公告)号：US20220414747A1

公开(公告)日：2022-12-29

申请号：US17358081

申请日：2021-06-25

Applicant: Maplebear Inc.(dba Instacart)

Inventor： Changyao Chen ,  Peng Qi ,  Weian Sheng ,  Chuanwei Ruan ,  Qiao Jiang

IPC: G06Q30/06 ,  G06Q10/08 ,  G06N20/00

Abstract: An online concierge system enables users to create lists of items and generate a link allowing other receiving users to access a list by selecting the link. When a receiving user selects the link, the online concierge system generates a user-specific list from the original list. The user-specific list includes user-specific items selected for the receiving user that replace items in the original list based on item availability to the receiving user, receiving user preferences, and other receiving user-specific criteria. The receiving user can then view the user-specific items in the user-specific list via an interface allowing the user-specific items in the user-specific list to be included in an order in a single interaction.