公开(公告)号：US20250005654A1

公开(公告)日：2025-01-02

申请号：US18217329

申请日：2023-06-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Raochuan Fan ,  Prakash Putta ,  Vinesh Reddy Gudla ,  Nkemakonam Paulet Okoye ,  Taesik Na ,  Tejaswi Tenneti

IPC: G06Q30/0601

Abstract: An online concierge system allows a customer to search items offered by a retailer by providing a set of items to the customer based on a search query. To account for varying availability of items at the retailer, the online concierge system modifies rankings in the set of items having less than a threshold predicted availability at the retailer. This reduces a likelihood selection of an item likely to be unavailable at the retailer. To maintain customer confidence in the items selected based on the search results by maintaining visibility of items relevant to the search query, the online concierge system determines how much an item is modified within the set based on search query attributes, item attributes, or customer characteristics. This allows different items to be adjusted different amounts in a set based on the item, as well as the search query for which the item was selected.

公开(公告)号：US20250077529A1

公开(公告)日：2025-03-06

申请号：US18241093

申请日：2023-08-31

Applicant: Maplebear Inc.

Inventor： Levi Boxell ,  Vinesh Reddy Gudla ,  Michael Kurish ,  Raochuan Fan ,  Tilman Drerup ,  Tejaswi Tenneti

IPC: G06F16/2457 ,  G06F16/248 ,  G06N20/00

Abstract: An online system displays items to a user in search results based on appeasement scores for the items, adjusted according to how specific the search query is. The online system receives a search query from a user of an online system. The online system computes a query specificity score, a measure of the specificity of the search query. The online system accesses candidate items from a database that potentially match the search query. For each candidate item, the online system may compute or predict an appeasement score. The online system adjusts the appeasement score based on the query specificity score such that a more specific query weights the appeasement score lower than a less specific query. The online system may then compute a ranking score based on the adjusted appeasement score and display the candidate items to the user based on their ranking scores.