US 12,468,748 B1
Apparatus and method for training a machine learning model to generate a match score using profile data and reference data
Jack Robert Muir Henderson, London (GB)
Assigned to Healsgood AI, LTD, London (GB)
Filed by Healsgood Artificial Intelligence, Dubai (AE)
Filed on Oct. 31, 2024, as Appl. No. 18/933,621.
Int. Cl. G06F 16/334 (2025.01); G06F 16/335 (2019.01); G06F 16/338 (2019.01)
CPC G06F 16/334 (2019.01) [G06F 16/335 (2019.01); G06F 16/338 (2019.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus for training a machine learning model to generate a match score using unstructured profile data and unstructured reference data, wherein the apparatus comprises:
at least a computing device, wherein the computing device comprises:
a memory; and
at least a processor communicatively connected to the memory, wherein the memory contains instructions configuring the at least a processor to:
receive a plurality of unstructured profile data, wherein each unstructured profile datum of the plurality of unstructured profile data comprises a plurality of metrics, wherein at least two metrics of the plurality of metrics comprise quantifiable metrics comprising a value a candidate contributed to their last job in terms of generating profits and a weighted value for an educational institution of the candidate;
receive a plurality of unstructured reference data, wherein each unstructured reference datum of the plurality of unstructured reference data is associated with a plurality of criteria;
filter, for each unstructured reference datum of the plurality of unstructured reference data, the plurality of unstructured profile data;
generate, for each unstructured profile datum of the filtered plurality of unstructured profile data, a match score by calculating, using a matching algorithm, a degree of similarity between the plurality of metrics and the plurality of criteria; and
display, using a client device, an output based on the generated match score.