US 2025/0053491 A1Published application

Systems and methods for generating system alerts

AssigneeCapital One Services, LLC

InventorsSamuel SHARPE, Christopher Bayan BRUSS, Brian BARR

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Abstract

Systems and methods for executing resource availability notifications to user systems are described. In some aspects, the system receives, for a first plurality of user systems, a first plurality of user profiles and a plurality of resource availability values. Each user profile includes values for a set of features. The system processes a first machine learning model which generates resource availability values from the set of features and extracts an explainability vector. The system uses the explainability vector to generate an embedding map that translates feature values into a corresponding embedding in an embedding space. The system encodes a second plurality of user profiles and processes the resulting user profile vectors using a second machine learning model to generate clusters of user profile vectors. The system selects a cluster from the clusters of user profile vectors and determines user systems corresponding to the cluster for executing resource availability notifications.

Claims20

Dependent claims

A system for generating system alerts to user systems, the system comprising:

receiving, for a first plurality of user systems, a first plurality of user profiles and a corresponding plurality of resource availability values, wherein each user profile includes values for a set of features;
using values for the set of features from the first plurality of user profiles and the corresponding plurality of resource availability values, training a first machine learning model to determine resource availability for a user system, wherein the first machine learning model receives as input values for the set of features and generates as output a corresponding resource availability value;
processing the first machine learning model to extract an explainability vector, wherein each entry in the explainability vector corresponds to a feature in the set of features and is indicative of a correlation between the feature and the output of the first machine learning model;
using the explainability vector, generating an embedding map to translate a user profile comprising values for the set of features into a corresponding embedding in an embedding space, wherein the embedding map recombines at least some of the set of features into one or more features for the embedding space based on the explainability vector;
encoding, using the embedding map, a second plurality of user profiles for a second plurality of user systems to produce a plurality of user profile vectors;
processing the plurality of user profile vectors using a second machine learning model to generate one or more clusters of user profile vectors;
and
selecting a cluster from the one or more clusters of user profile vectors and determining user systems corresponding to the cluster for executing resource availability notifications.

5 more elements

A method, the method comprising:

receiving, for a first plurality of user systems, a first plurality of user profiles and a corresponding plurality of resource availability values, wherein each user profile includes values for a set of features;
processing a first machine learning model to extract an explainability vector, wherein the first machine learning model receives as input values for the set of features and generates as output a corresponding resource availability value;
using the explainability vector, generating an embedding map to translate a user profile comprising values for the set of features into a corresponding embedding in an embedding space;
encoding, using the embedding map, a second plurality of user profiles for a second plurality of user systems to produce a plurality of user profile vectors;
processing the plurality of user profile vectors using a second machine learning model to generate one or more clusters of user profile vectors;
and
selecting a cluster from the one or more clusters of user profile vectors and determining user systems corresponding to the cluster for executing resource availability notifications.

4 more elements

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause operations comprising:

receiving an embedding map for translating a user profile comprising values for a set of features into a corresponding embedding in an embedding space;
encoding, using the embedding map, a plurality of user profiles for a plurality of user systems to produce a plurality of user profile vectors, wherein each user profile comprises values for the set of features;
processing the plurality of user profile vectors using a machine learning model to generate one or more clusters of user profile vectors;
and
selecting a cluster from the one or more clusters of user profile vectors and determining user systems corresponding to the cluster for executing resource availability notifications.

2 more elements

Dependencies are inferred from the claim text.