Information Processing System for Personal Data Update Detection
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Solution Overview
Problem
Users face inconvenience and burden due to outdated personal information with service providers, leading to issues like undelivered mail, as they often fail to update their information despite changes in lifestyle or address.
Innovation Solution
An information processing system that identifies the relationship between a user and a reference person, determines a proximity score based on their relationship strength, and estimates the necessity to update personal information using machine learning models, prompting users to update their information when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the service provider frequently confirms a change status of the personal information, then the personal information can be kept updated, but there is a burden on the user
Solution Approach 1:
The system automatically identifies users whose personal information may be outdated by analyzing relationships with reference persons who have updated their information, and sends notifications only to those users. This eliminates the need for frequent manual confirmations from all users while maintaining information accuracy.
Solution Approach 2:
The system establishes a feedback mechanism where the service provider monitors changes in reference persons' personal information and automatically notifies affected users. This creates a continuous information update loop without requiring active participation from all users.
2Ease of operation
If the service provider does not frequently confirm personal information changes, then the user burden is reduced, but the personal information becomes outdated
Solution Approach 1:
The system proactively identifies users who are likely to have outdated personal information by analyzing their relationships with reference persons before sending notifications. This preliminary identification ensures that information accuracy is maintained without requiring frequent manual confirmations from users.
3Reliability
If the service provider requests personal information updates from all users, then the personal information can be kept current, but users experience inconvenience and burden
Solution Approach 1:
The system applies different treatment to different users based on their individual situations. Instead of uniformly notifying all users, it selectively notifies only those users whose personal information is likely outdated based on their relationships with reference persons, making the update process more convenient while maintaining accuracy.
Data Source
AI summary
An information processing system identifies a type of a relation between a person of interest and a reference person; determines, in accordance with a determination criterion corresponding to the type of the relation between the person of interest and the reference person, a proximity score indicating a proximity between the person of interest and the reference person based on an index indicating a strength of a relationship between the person of interest and the reference person; and estimates an update necessity of personal information on the person of interest based on input data including an attribute of the person of interest, an attribute of the reference person, a change status of personal information on the reference person, and the proximity score and the type of the relation for a pair of the person of interest and the reference person.