AUTOMATICALLY MEASURING QUALITY SCORES FOR CONNECTED COMPONENTS USING MACHINE LEARNING MODELS
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 o...
Saved in:
Main Authors | , , , , , , , |
---|---|
Format | Patent |
Language | English |
Published |
11.07.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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. |
---|---|
Bibliography: | Application Number: US202418607164 |