1. Special issue on artificial intelligence/machine learning in travel
2. Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices
3. An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand
4. Decoupling the individual effects of multiple marketing channels with state space models
5. Competitive revenue management models with loyal and fully flexible customers
6. Demand estimation from sales transaction data: practical extensions
7. How recommender systems can transform airline offer construction and retailing
8. A note on the advantage of context in Thompson sampling
9. Shelf placement optimization for air products
10. Applying reinforcement learning to estimating apartment reference rents
11. Machine learning approach to market behavior estimation with applications in revenue management
12. Multi-layered market forecast framework for hotel revenue management by continuously learning market dynamics
13. Artificial Intelligence in travel
14. The key to leveraging AI at scale
15. The future of AI is the market.