A Smart Instant Book Filter Model based on Dual-Objective Optimization
Summary
- Researchers present a smart instant book filter system for online hospitality marketplaces based on dual-objective optimization.
- The model aims to maximize the instant book rate while ensuring that the overall booking rate does not decrease.
- Global A/B testing demonstrates that the system outperforms previous human-expert-tuned models in both instant book and overall booking rates.
- The approach also improves host instant book adoption rates and is currently deployed in production serving millions of users daily.
Why it matters
Optimizing marketplace matching mechanisms through dual-objective models directly improves user satisfaction and operational efficiency in large-scale platforms.