公开(公告)号：US20250147997A1

公开(公告)日：2025-05-08

申请号：US18932301

申请日：2024-10-30

Applicant: Maplebear Inc.

Inventor： Xiaochen Wang ,  Taesik Na ,  Xiao Xiao ,  Ruhan Zhang ,  Xuan Zhang ,  Tejaswi Tenneti ,  Haixun Wang

IPC: G06F16/35 ,  G06F16/383

Abstract: An online system updates the labels on negative examples to account for the possibility that the example is a false negative. The system generates a set of initial training examples that each include a query input by the user and item data for an item presented as a result to the user's query. Each training example also includes an initial label, which represents whether the user interacted with the item presented as a search result. The online system updates the initial label for a negative training example by identifying a set of bridge queries and computing a similarity score between the query for the training example and the bridge queries. The online system computes an updated label for the negative example based on the similarity scores and updates the training example with the updated label.

公开(公告)号：US20240289867A1

公开(公告)日：2024-08-29

申请号：US18113870

申请日：2023-02-24

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Xuan Zhang ,  Vinesh Reddy Gudla ,  Tejaswi Tenneti ,  Haixun Wang

IPC: G06Q30/0601

CPC classification number: G06Q30/0633 ,  G06Q30/0619 ,  G06Q30/0631

Abstract: An online system generates a template shopping list for a user by accessing a machine learning model trained based on historical order information associated with the user, applying the model to predict likelihoods of conversion for item categories by the user, and populating the template shopping list with one or more item categories based on the predicted likelihoods. The system ranks one or more item types associated with each item category in the template shopping list and determines a set of collection rules associated with one or more item categories/types based on the historical order information. The system generates a suggested shopping list by populating each item category in the template shopping list with one or more item types and a quantity of each item type based on the ranking and rules and sends the suggested shopping list and rules for display to a client device associated with the user.