Rakuten Group had three patents in social media during Q2 2024. The patent filed by Rakuten Group Inc in Q2 2024 relates to a credit determination system that accurately determines the credit of a person whose credit information is not known. The system uses a relationship specifying unit to identify the relationship between the target person and a reference person, and a closeness score determining unit to determine the closeness score between them. Based on this information, a credit determining unit calculates the credit of the target person using information about the reference person and the closeness score. GlobalData’s report on Rakuten Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Rakuten Group had no grants in social media as a theme in Q2 2024.
Recent Patents
Application: Credit determination system, credit determination method and program (Patent ID: US20240169424A1)
The patent filed by Rakuten Group Inc. describes a credit determination system, method, and program that accurately determines the credit of a person whose credit information is unknown. The system involves specifying a relationship between a target person and a reference person, determining a closeness score based on the strength of the relationship, and then determining the credit of the target person based on information about the reference person and the closeness score.
The system utilizes a trained machine learning model to determine the closeness score between the target person and the reference person. It also specifies relationships based on account data registered in different computer systems and can identify related persons based on various attributes. Additionally, the system can determine credit based on a first determination of the target person's information and, if necessary, execute a second determination based on information about reference persons. The method and program stored in a computer-readable medium follow similar steps to determine credit accurately for a target person based on relationships and closeness scores with reference persons.
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