User Behavior Data Feedback Loop for AI Optimization

Leveraging the Web3 framework, DramaBits feeds anonymized and securely shared user behavior data back into AI models, enabling a “co-create–co-train–co-evolve” content ecosystem.

Data collection and processing flow:

• On-Chain Behavior Capture: Watch time, like/comment frequency, and preference types are all recorded on-chain;

• Model Feedback Mechanism: High-engagement dramas inform new script training with emphasis on structure/topics/pacing;

• Co-Training Incentive Mechanism (Planned): Users who authorize data contributions receive point or token rewards;

• AI Curation Model Optimization: Continuously fine-tunes the recommendation system based on user feedback for better content matching;

• DAO Co-Creation Dataset: High-quality drama structures and styles are organized into an on-chain public training set, available to all platform creators.

AI is no longer a centralized black box — it becomes a co-built, self-evolving system driven jointly by creators and viewers.