Patent ID: 11971868
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
transforming, by at least one processor of at least one computing device, using an encoder module, comprising at least one first machine learning model, a plurality of datasets in a database respectively into a plurality of compressed latent space datasets in a latent space representation that groups similar features in data objects in each of the plurality of datasets into feature clusters in the latent space representation;
transforming, by the at least one processor, using the encoder module, a user-provided sample dataset from the plurality of datasets into a sample compressed latent space dataset in the latent space representation;
determining, by the at least one processor, using a comparator module, comprising at least one second machine learning model, a plurality of distances between the sample compressed latent space dataset and each of the plurality of compressed latent space datasets in the latent space representation;
identifying, by the at least one processor, at least one compressed latent space dataset from the plurality of compressed latent space datasets having a distance smaller than a predefined threshold distance;
determining, by the at least one processor, at least one possible location of the user-provided sample dataset in the database based at least in part on:
the at least one compressed latent space dataset in the latent space representation, and
an indexing between the plurality of datasets and the plurality of compressed latent space datasets; and

instructing, by the at least one processor, over a communication network, a display to display on a graphic user interface, the at least one possible location of the user-provided sample dataset in the database.