17932114. DETECTING RELIABILITY ACROSS THE INTERNET AFTER SCRAPING simplified abstract (Capital One Services, LLC)

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DETECTING RELIABILITY ACROSS THE INTERNET AFTER SCRAPING

Organization Name

Capital One Services, LLC

Inventor(s)

Leeyat Bracha Tessler of Arlington VA (US)

Robert Mays of Midlothian VA (US)

Tyler Maiman of MELVILLE NY (US)

Juwan Byrd of Henrico VA (US)

DETECTING RELIABILITY ACROSS THE INTERNET AFTER SCRAPING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17932114 titled 'DETECTING RELIABILITY ACROSS THE INTERNET AFTER SCRAPING

Simplified Explanation

The abstract describes a system where a reliability modeler uses a trained model to analyze webpages associated with a particular entity and determine if they are likely to be unauthorized. If unauthorized, an alert is sent to the user device.

  • The reliability modeler receives webpages associated with a first entity.
  • The modeler detects logos, fonts, or colors within the webpages.
  • A model trained on guidelines associated with the entity is applied to the logos, fonts, or colors.
  • Based on the model output, the modeler determines if the webpages are unauthorized.
  • An alert is transmitted to the user device if the webpages are deemed unauthorized.

Potential Applications

This technology could be applied in:

  • Brand protection
  • Fraud detection in online activities

Problems Solved

This technology helps in:

  • Identifying unauthorized webpages
  • Preventing misuse of logos and branding elements

Benefits

The benefits of this technology include:

  • Enhanced security for entities' online presence
  • Efficient detection of unauthorized content

Potential Commercial Applications

A potential commercial application for this technology could be:

  • Online reputation management services

Possible Prior Art

One possible prior art for this technology could be:

  • Trademark monitoring services that track unauthorized use of logos and branding elements online

Unanswered Questions

How does the model differentiate between authorized and unauthorized webpages?

The abstract does not provide details on the specific criteria or features used by the model to make this determination.

What types of alerts are sent to the user device?

The abstract does not specify the content or format of the alerts that are transmitted to the user device.


Original Abstract Submitted

In some implementations, a reliability modeler may receive a plurality of webpages associated with a first entity from an Internet scraping device. The reliability modeler may detect, within the plurality of webpages, at least one of a logo, a font, or a color. The reliability modeler may apply a model, trained on a set of guidelines associated with the first entity, to the logo, the font, or the color. Accordingly, the reliability modeler may determine, based on output from the model, that the plurality of webpages are unlikely to be authorized by the first entity. The reliability modeler may transmit, to a user device, an alert based on determining that the plurality of webpages are unlikely to be associated with the first entity.