Intelligent Recommendation System
Built on a proprietary four-layer decoupled architecture integrating RFM user segmentation, an enhanced Apriori association rule algorithm, and user preference self-learning — delivering personalized precision matching to support both public domain distribution and private domain operations.
- Real-time computation engine: Flink + Redis Streams with 200ms feature updates for dynamic recommendations
- Full-category coverage: unified recommendations for flights, ancillaries, member benefits, and travel specialty packages
- Low-code operations: built-in aviation templates with drag-and-drop strategy configuration — no development required
- A/B testing: visual performance monitoring with real-time conversion ROI tracking for continuous optimization
- Async high-concurrency architecture: RocketMQ three-tier message priority + LSTM hotspot preloading for stable operation