17909746. LEARNING MODEL CREATING SYSTEM, LEARNING MODEL CREATING METHOD, AND PROGRAM simplified abstract (Rakuten Group, Inc.)
Contents
LEARNING MODEL CREATING SYSTEM, LEARNING MODEL CREATING METHOD, AND PROGRAM
Organization Name
Inventor(s)
Kyosuke Tomoda of Setagaya-ku, Tokyo (JP)
Shuhei Ito of Minato-ku, Tokyo (JP)
LEARNING MODEL CREATING SYSTEM, LEARNING MODEL CREATING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17909746 titled 'LEARNING MODEL CREATING SYSTEM, LEARNING MODEL CREATING METHOD, AND PROGRAM
Simplified Explanation: The patent application describes a system where a learning model is created based on authenticated information from a user to detect fraud in a service.
Key Features and Innovation:
- Acquisition of authenticated information from an authenticated user.
- Creation of a learning model to detect fraud in the service.
- Estimation of the validity of actions by the authenticated user.
Potential Applications: This technology can be applied in various industries such as finance, e-commerce, and cybersecurity to prevent fraud and enhance security measures.
Problems Solved: This technology addresses the issue of fraud detection by using authenticated information to create a learning model that can accurately detect fraudulent activities.
Benefits:
- Improved fraud detection capabilities.
- Enhanced security for users and service providers.
- Prevention of financial losses due to fraudulent activities.
Commercial Applications: The technology can be utilized by financial institutions, online retailers, and other service providers to protect against fraud, build trust with customers, and maintain a secure online environment.
Prior Art: Researchers can explore prior art related to fraud detection systems, machine learning models, and authentication methods to understand the existing technologies in this field.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms, fraud detection techniques, and authentication protocols to enhance the effectiveness of this technology.
Questions about Fraud Detection Technology: 1. How does this technology improve fraud detection compared to traditional methods? 2. What are the potential limitations of using authenticated information for creating learning models in fraud detection systems?
Original Abstract Submitted
At least one processor of a learning model creating system acquires authenticated information relating to an action of an authenticated user who has executed a predetermined authentication from a user terminal from which a predetermined service is usable. At least one processor creates, based on the authenticated information, a learning model for detecting fraud in the service such that the action of the authenticated user is estimated to be valid.
