Violation Prediction Using Social Interaction Time Attenuation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for predicting user violations in social interactions lack comprehensive evaluation of partner relationships and conversation nature, fail to consider temporal attenuation of social interaction influence, and exhibit low prediction performance.
Innovation Solution
A violation prediction apparatus that evaluates conversation data and relationship data to calculate a social interaction effect, considering a time attenuation function to predict the occurrence probability of a violation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic attribute information (age, gender, BMI) is used for violation prediction, then prediction performance is improved, but the evaluation of social interaction is insufficient
Solution Approach 1:
The patent merges basic attribute information with comprehensive social interaction evaluation by integrating conversation data (content, situation, partner information) and relationship data into a unified prediction model. This combination allows the system to maintain the predictive power of basic attributes while adding the previously missing social interaction dimensions through multiple evaluation units that process both types of data together.
2Loss of information
If conversation content and partner information are evaluated, then social interaction assessment is improved, but the evaluation remains limited without considering temporal attenuation
Solution Approach 1:
The patent applies preliminary action by introducing a time attenuation function that pre-processes the social interaction effect before final prediction. The calculation unit computes the temporal decay of social interaction influence in advance, allowing the system to account for how the impact of conversations diminishes over time. This preliminary temporal processing ensures that recent interactions have greater weight than distant ones, resolving the limitation of treating all interactions equally regardless of timing.
3Measurement precision
If comprehensive social interaction evaluation is implemented, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex prediction system into distinct functional units: a conversation data evaluation unit that processes conversation content and situation, a relationship data evaluation unit that handles partner relationships, and a calculation unit that integrates these evaluations with time attenuation. This segmentation allows each unit to specialize in specific aspects of social interaction analysis, making the overall complex system more manageable and maintainable while achieving comprehensive evaluation for improved prediction accuracy.
Data Source
AI summary
An object of the present disclosure is to predict an occurrence probability of a violation with high accuracy.Therefore, content of the present disclosure is a violation prediction apparatus that predicts an occurrence probability of a violation, and is configured to: evaluate conversation data that includes conversation partner information for identifying a partner of a conversation and indicates a conversation content and a conversation situation, thereby obtaining a conversation content evaluation value and a conversation situation evaluation value; evaluate a relationship with the partner of the conversation based on relationship data that indicates a human relationship with a target user and on the conversation partner information, thereby obtaining a relationship evaluation value; calculate a social interaction effect based on the conversation content evaluation value, the conversation situation evaluation value, and the relationship evaluation value; calculate a time attenuation value of the social interaction effect based on a time attenuation function; and calculate an occurrence probability of a violation.