17945454. SYSTEMS AND METHODS FOR ACCOUNT STATUS MONITORING simplified abstract (Capital One Services, LLC)

SYSTEMS AND METHODS FOR ACCOUNT STATUS MONITORING

Organization Name

Capital One Services, LLC

Inventor(s)

Michael Saia of Weehawken NJ (US)

Lin Ni Lisa Cheng of New York NY (US)

Rocky Guo of Vienna VA (US)

Seth Wilton Cottle of Reston VA (US)

SYSTEMS AND METHODS FOR ACCOUNT STATUS MONITORING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17945454 titled 'SYSTEMS AND METHODS FOR ACCOUNT STATUS MONITORING

Simplified Explanation

The patent application describes systems and methods for account status monitoring using machine learning and neural networks. Here is a simplified explanation of the abstract:

• User registration information and account information are analyzed to create a user behavior pattern.
• An anomaly in the user behavior pattern indicative of a life event is determined.
• A second user account is identified based on the life event, and the effect on the second user credit information is predicted.

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1. 1. 1. Potential Applications of this Technology

Some potential applications of this technology include:

• Fraud detection in financial transactions
• Personalized financial recommendations based on life events

1. 1. 1. Problems Solved by this Technology

This technology helps in:

• Identifying anomalies in user behavior patterns
• Predicting the impact of life events on credit information

1. 1. 1. Benefits of this Technology

The benefits of this technology include:

• Improved security in financial transactions
• Personalized financial services based on individual life events

1. 1. 1. Potential Commercial Applications of this Technology

The potential commercial applications of this technology can be seen in:

• Banking and financial institutions for fraud prevention
• Fintech companies for personalized financial services

1. 1. 1. Possible Prior Art

One possible prior art related to this technology could be traditional credit monitoring services that track credit information for individuals.

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1. 1. 1. 1. Unanswered Questions

1. 1. 1. How does the machine learning rules engine analyze user behavior patterns?

The patent application does not provide specific details on the algorithms or techniques used by the machine learning rules engine to analyze user behavior patterns.

1. 1. 1. What types of life events are considered in the prediction of credit information transfer?

The patent application does not specify the range of life events that are taken into account when predicting the impact on credit information transfer.

Original Abstract Submitted

Disclosed herein are systems and methods for account status monitoring. The method can include receiving user registration information and account information corresponding to a first user account. The account information can include first user credit information. The method can include analyzing, by a machine learning rules engine, the account information and the user registration information to create a user behavior pattern associated with the first user account. The method can further include determining an anomaly in the user behavior pattern indicative of a life event. Based on the life event and the user registration information, the method can determine a second user account and corresponding account information comprising second user credit information. In response, the method can include predicting, by a convolutional neural network, an effect on the second user credit information resulting from the transfer of the first user credit information to the second user account.