US 12,614,116 B2Granted

Machine learning-based synthetic monitoring

AssigneeCapital One Services, LLC

InventorsMichael Anthony Young, Jr., Matthew Louis Nowak, Christopher McDaniel

Life of this patent

Estimating the term…

Loading patent…

Abstract

Methods, systems, and apparatuses are described herein for using machine learning processes to improve synthetic monitoring of, e.g., websites. Training data may comprise sitemap information for a plurality of different websites and monitoring information that indicates whether, for each of a plurality of different portions of those websites, one or more synthetic monitoring scripts are executed. A machine learning model may be trained using that training data to output whether one or more portions of an input website should be monitored using synthetic monitoring. A sitemap of a first website may be determined and provided as input to the trained first machine learning model. Based on output from the trained first machine learning model, a synthetic monitoring script may be determined and executed to monitor at least a first portion of the first website.

Claims20

Dependent claims

A computing device comprising:

one or more processors;
and
memory storing instructions that, when executed by the one or more processors, cause the computing device to:
receive training data comprising:
sitemap information indicating different portions of a plurality of different websites;
and
monitoring information indicating whether, for each of the different portions of the plurality of different websites, one or more synthetic monitoring scripts are executed, wherein the one or more synthetic monitoring scripts comprise code that, when executed by a web browser application, cause automatic monitoring of at least a portion of a website:
train, based on the training data, a first machine learning model comprising a plurality of nodes to output whether one or more portions of an input website should be monitored using synthetic monitoring;
receive an indication of a first website;
determine input data comprising a sitemap of the first website;
provide, as input to the trained first machine learning model, the input data:
receive, as output from the trained first machine learning model, output data comprising an indication of one or more portions of the first website:
determine second training data comprising code from one or more synthetic monitoring scripts executed with respect to one or more of the different portions of the plurality of different websites;
train, based on the second training data, a second machine learning model comprising a second plurality of nodes to output synthetic monitoring scripts in response to input indicating one or more portions of a website:
determine, based on the one or more portions of the first website, a first synthetic monitoring script for monitoring at least one of the one or more portions of the first website by:
providing, as input to the trained second machine learning model, the output data;
and
receiving, as output from the trained second machine learning model, second output data comprising an indication of the first synthetic monitoring script;
and
cause, based on the output data, execution of the first synthetic monitoring script.

17 more elements

A method comprising:

receiving, by a computing device, training data comprising:
sitemap information indicating different portions of a plurality of different websites;
and
monitoring information indicating whether, for each of the different portions of the plurality of different websites, one or more synthetic monitoring scripts are executed, wherein the one or more synthetic monitoring scripts comprise code that, when executed by a web browser application, cause automatic monitoring of at least a portion of a website:
training, by the computing device and based on the training data, a first machine learning model comprising a plurality of nodes to output whether one or more portions of an input website should be monitored using synthetic monitoring;
receiving, by the computing device, an indication of a first website;
determining, by the computing device, input data comprising a sitemap of the first website;
providing, by the computing device and as input to the trained first machine learning model, the input data;
receiving, by the computing device and as output from the trained first machine learning model, output data comprising an indication of one or more portions of the first website;
determining, by the computing device and based on the one or more portions of the first website, a first synthetic monitoring script for monitoring at least one of the one or more portions of the first website;
and
sending, by the computing device and to a virtual machine executing on a server, the first synthetic monitoring script, wherein a web browser application executing in the virtual machine is configured to execute the first synthetic monitoring script.

9 more elements

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors of a computing device, cause the computing device to:

receive training data comprising:
sitemap information indicating different portions of a plurality of different websites;
and
monitoring information indicating whether, for each of the different portions of the plurality of different websites, one or more synthetic monitoring scripts are executed, wherein the one or more synthetic monitoring scripts comprise code that, when executed by a web browser application, cause automatic monitoring of at least a portion of a website;
train, based on the training data, a first machine learning model comprising a plurality of nodes to output whether one or more portions of an input website should be monitored using synthetic monitoring;
receive an indication of a first website;
determine input data comprising a sitemap of the first website;
provide, as input to the trained first machine learning model, the input data;
receive, as output from the trained first machine learning model, output data comprising an indication of one or more portions of the first website:
determine, based on the one or more portions of the first website, a first synthetic monitoring script for monitoring at least one of the one or more portions of the first website;
and
cause, based on the output data, execution of the first synthetic monitoring script.

9 more elements

Dependencies are inferred from the claim text.