Automatically measuring quality scores for connected components using machine learning models

US11948164B2 · kind B2 · utility

Assignee

• Walmart Apollo, LLC · US

Inventors

• Mridul Jain · Cupertino, US
• Saigopal Thota · Davis, US
• Ashraful Arefeen · Riverside, US
• Antriksh Shah · Gandhinagar, IN
• Albin Kuruvilla · Hassan, IN
• Gajendra Alias Nishad Kamat · Los Altos, US
• Rijul Magu · Raleigh, US
• Neil Mohan Reddy Palleti · Cupertino, US

Key dates

• Filing date: Nov 12, 2021
• Grant date: Apr 2, 2024
• Expiry date: Nov 12, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: generating linkage scores between nodes at least based on a machine learning model; creating links between the nodes to form connected components based on the linkage scores exceeding a predetermined threshold; generating an actual matching linkage set of the nodes linked in the connected components by using a relaxed blocking criteria; and generating a quality score for the connected components. Other embodiments are disclosed.