saveInteractionData

Persists a single user interaction data entry to the database.

This method stores individual interaction events that contribute to the KARL learning process. Each interaction represents a discrete user behavior or system response that can be analyzed for pattern recognition and adaptive behavior modeling.

Data Structure:

• Automatic timestamp assignment for temporal analysis

• User partitioning enables efficient multi-user data management

• Structured interaction data supports complex behavioral analytics

Performance Optimization:

• Batch-friendly design allows for efficient bulk operations

• Minimal table locking during high-frequency interaction logging

• Asynchronous operation prevents UI blocking during data persistence

Analytics Integration:

• Standardized data format supports machine learning pipeline integration

• Temporal ordering enables sequence analysis and pattern detection

• User segmentation capabilities for personalized learning models

Parameters

See also

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