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

Claim 10:
11. A system comprising:
a non-transitory computer memory storing computer code; and
at least one processor, that when executing the computer code, configures the at least one processor to:
transform 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;
transform 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;
determine 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;
identify at least one compressed latent space dataset from the plurality of compressed latent space datasets having a distance smaller than a predefined threshold distance;
determine 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

instruct 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.