AUTOMATICALLY MEASURING QUALITY SCORES FOR CONNECTED COMPONENTS USING MACHINE LEARNING MODELS

• Main Authors: Shah, Antriksh Akshesh, Kuruvilla, Albin, Palleti, Neil Mohan Reddy, Jain, Mridul, Thota, Saigopal, Magu, Rijul, Arefeen, Ashraful, Kamat, Gajendra Aliaas Nishad
• Format: Patent
• Language: English
• Published: 11.07.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: creating links between nodes to form connected components based on linkage scores exceeding a predetermined threshold; generating, by using a relaxed blocking criteria, an initial labeled set, wherein the relaxed blocking criteria is configured to prevent loss of data signals; tuning the relaxed blocking criteria by relaxing and tightening a precision threshold associated with the connected components; and generating a quality score for the connected components, wherein the quality score comprises an objective metric to identify a true graph of each user. Other embodiments are described.