A multi-dimensional user portrait risk assessment method and system
By integrating multi-dimensional user data and performing in-depth semantic analysis and dynamic weight adjustment, the problem of single evaluation dimensions in existing technologies has been solved, enabling comprehensive and accurate assessment and timely intervention of user risks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 成都元智盈创科技有限公司
- Filing Date
- 2026-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing user profiling risk assessment technologies have relatively limited assessment dimensions, relying mainly on single-type data related to emotions. They fail to fully integrate multi-dimensional heterogeneous data such as users' basic information, behavioral data, social data, and profile data, resulting in insufficient comprehensiveness in risk assessment.
A multi-dimensional user profiling risk assessment method is adopted, which integrates five types of heterogeneous data: user identification attributes, activity characteristics, emotional expression, social interaction, and user characteristic tags. Deep semantic analysis is performed through a preset language model, the weight coefficients of each dimension are dynamically adjusted, and a risk assessment score is generated by weighted calculation. Based on the score, the risk level and intervention recommendations are determined.
It achieves a comprehensive and accurate portrayal of user status, improves the accuracy of identifying extreme remarks and assessing sentiment tendencies, ensures the objectivity and reliability of assessment results and the targeted and timely nature of interventions, and forms a complete closed loop of data acquisition, analysis and assessment, and tiered intervention.
Smart Images
Figure CN122417418A_ABST