| CPC G06F 16/90335 (2019.01) [G06F 16/215 (2019.01); G06F 16/24564 (2019.01); G06F 16/25 (2019.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01)] | 20 Claims |
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1. A method, comprising:
generating, by a first device, a matching model based on using one or more machine learning techniques with training data that identifies historical core identifiers;
training, by the first device, the matching model based on obtaining one or more input characteristics associated with a particular entity, from the historical core identifiers, and outputting a respective measure of confidence that the one or more input characteristics are associated with the particular entity;
processing, by a first device, first data associated with a first entity with the matching model to determine a core identifier that identifies the first entity;
identifying, based on the determining the core identifier, a second entity that matches the first entity and a measure of confidence that the second entity matches the first entity;
obtaining, by the first device based on providing the core identifier to a second device, one or more other identifiers that identify the second entity;
obtaining, by the first device and based on a query including the one or more other identifiers, second data associated with the second entity; and
providing, by the first device and to a third device, the second data,
wherein the third device is associated with providing the first data.
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