Artificial Intelligence and Machine Learning in the Travel Industry

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.

Ben Vinod is a co-founder of Charter and Go, a dynamic offer, order management, and dispatch solution for air charter operators. He served as vice president of pricing, yield management, and reservations inventory control at American Airlines Decision Technologies (1993-1999) and was senior vice president and chief scientist at Sabre (2008-2020), focused on innovation and thought leadership in pioneering advanced solutions across the travel value chain for travel suppliers and intermediaries. He has published over 50 articles in academic and trade journals, is a member of AGIFORS, and serves on the editorial board of the Journal of Revenue and Pricing Management.