User Behavior Management via Historical State Segmentation
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Solution Overview
Problem
Existing user behavior management systems in application systems, such as telecommunication systems, face challenges in accurately managing user privileges due to the dynamic nature of user states, where a current state may not reflect the overall situation, leading to incorrect privilege management.
Innovation Solution
A computer-implemented method and system that obtains a group of historical states from a user within a previous time period, generates a feature based on these states, and manages user privileges at a current time based on this feature, providing a more accurate representation of the user's situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user privilege management is based on current state only, then the system is simple and fast, but the accuracy of privilege management deteriorates due to dynamic state changes
Solution Approach 1:
The system collects and stores user state data in advance during the previous time period before making privilege management decisions. By preparing historical state information beforehand, the system can make more accurate privilege decisions without adding real-time complexity during the actual privilege management operation.
Solution Approach 2:
The time period is segmented into a previous time period (for state collection) and current time (for privilege management). This segmentation allows the system to separate data collection and decision-making processes, improving accuracy while maintaining operational simplicity through temporal separation of functions.
2Reliability
If historical states are collected and analyzed, then the accuracy of user behavior management improves, but the processing time and computational complexity increase
Solution Approach 1:
User state data is collected and processed in advance during the previous time period. By performing data collection and feature generation beforehand, the system reduces processing time during actual privilege management operations, as the historical data is already prepared and stored for quick retrieval and analysis.
Solution Approach 2:
The system continuously collects and updates user state data throughout the previous time period, maintaining an ongoing process of data accumulation. This continuous action ensures that when privilege management is needed, the data is already ready, eliminating interruptions and reducing overall processing time through uninterrupted data collection.
3Manufacturing precision
If only current state is considered for privilege management, then the system response is fast, but errors occur due to temporary state fluctuations
Solution Approach 1:
The system segments the decision-making process into two stages: data collection during the previous time period and decision execution at current time. This segmentation allows fast response at the decision stage while incorporating historical context from the previous period, achieving both speed and precision through temporal separation of data collection and decision-making.
Solution Approach 2:
Historical state data is prepared and processed in advance during the previous time period. By performing this preliminary action beforehand, the system can make precise privilege decisions quickly at current time without the delay of real-time data collection, thus achieving both high precision and fast response speed.
Data Source
AI summary
Embodiments of the present invention relate to methods, systems, and computer program products for user behavior management. In embodiments, a group of states of a user of an application system within a previous time period may be obtained. A state in the group of states may be associated with a privilege of the user for accessing resources in the application system during the previous time period. A feature of the user may be generated based on the group of states. A privilege of the user at a current time may be managed in the application system based on the feature. With these embodiments, the user behavior may be managed according to various aspect of the user's historical states and thus the user may be managed in a more accurate and effective manner.