Patent ID: 11893781
Assignee: EQUIFAX INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A system comprising:
a processing device; and
a memory device communicatively coupled to the process device,
wherein the processing device is configured for executing instruction stored in the memory device and thereby performing operations comprising:
matching an unstructured input data object to an unstructured reference data object, wherein matching the unstructured input data object to the unstructured reference data object comprises:
providing the unstructured input data object to a dual deep learning network having an embedding subnetwork and a relationship subnetwork, wherein outputs from an output layer of the embedding subnetwork are provided as inputs to the relationship subnetwork via an input layer of the relationship subnetwork, wherein the dual deep learning network is configured for;
generating, via the embedding subnetwork, an input feature vector from the unstructured input data object, wherein the embedding subnetwork is trained to generate training feature vectors from unstructured training data objects,
providing, from the output layer of the embedding subnetwork to the input layer of the relationship subnetwork, the input feature vector and a reference feature vector, wherein the relationship subnetwork is trained, with relationship training feature vectors generated by the embedding subnetwork, to output probabilities of pairs of the relationship training feature vectors belonging to common classes, and
obtaining, from the dual deep learning network, an output probability of the unstructured input data object and the unstructured reference data object belonging to a common class, the output probability generated by the dual deep learning network applying the relationship subnetwork to the input feature vector and the reference feature vector; and

outputting a result based on the output probability.