Information Processing System for Household Structure Identification
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Solution Overview
Problem
Existing technologies only estimate the presence or absence of a spouse or child, failing to provide a detailed understanding of a user's household situation.
Innovation Solution
An information processing system that identifies the presence or absence of a spouse, child, or parent, and determines the household structure by acquiring and analyzing relationship information, including surname, IP address, street address, age difference, and gender, using machine learning models to estimate the presence of family members and their ages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only presence/absence estimation is performed, then the estimation process is simple, but the household situation understanding is insufficient
Solution Approach 1:
The patent segments the household identification process into multiple independent modules: presence/absence estimation module, household identification module, and family user identification module. Each module processes specific aspects of household information separately, then integrates results to provide comprehensive household understanding without overwhelming system complexity
Solution Approach 2:
The patent transitions from one-dimensional presence/absence estimation to multi-dimensional household analysis by adding relationship type identification and family user matching dimensions. This dimensional expansion enables comprehensive household situation understanding while maintaining manageable complexity through structured processing
2Loss of information
If detailed relationship information is acquired for all family users, then household understanding is improved, but information processing time increases
Solution Approach 1:
The patent performs preliminary presence/absence estimation and household identification before detailed family user matching. By pre-identifying the household context and which family members are present, the system reduces the search space for relationship matching, thereby decreasing overall processing time while still acquiring detailed relationship information
Solution Approach 2:
The patent applies different processing depths to different family members based on local needs. For family members identified as present, detailed relationship information is acquired; for absent members, only presence/absence status is recorded. This selective information acquisition reduces total processing time while maintaining necessary detail where needed
Data Source
AI summary
To grasp a situation of a household to which a user belongs in more detail, presence/absence identification unit acquires presence/absence information indicating a presence/absence of a spouse of a target user, a child of the target user, or a parent of the target user. A household identification unit acquires household information indicating a household including the target user and one or a plurality of family users. A relationship identification unit acquires relationship information indicating a type of a relation between the target user and each of the family users. A family identification unit identifies, based on the acquired relationship information, from among the family users included in the household indicated by the household information, a family user which is one of the spouse, the child, and the parent indicated to be present by the presence/absence information.