J Revenue Pricing Man
Introduction
Journal of Revenue and Pricing Management, 20(3)
INTEREST CATEGORY: MARKETING STRATEGY
POSTING TYPE: TOCs
Editorial
Special issue on artificial intelligence/machine learning in travel
—B. Vinod []
Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices
—Rodrigo Acuna-Agost, Eoin Thomas, Alix Lhéritier []
An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand
—Ahmed Abdelghany, Khaled Abdelghany, Ching-Wen Huang []
Decoupling the individual effects of multiple marketing channels with state space models
—Melvin Woodley []
Competitive revenue management models with loyal and fully flexible customers
—Ravi Kumar, Wei Wang, Ahmed Simrin, Sivarama Krishnan Arunachalam, Bhaskara Rao Guntreddy, Darius Walczak []
Demand estimation from sales transaction data: practical extensions
—Norbert Remenyi, Xiaodong Luo []
How recommender systems can transform airline offer construction and retailing
—Amine Dadoun, Michael Defoin-Platel, Thomas Fiig, Corinne Landra, Raphaël Troncy []
A note on the advantage of context in Thompson sampling
—Michael Byrd, Ross Darrow []
Shelf placement optimization for air products
—Tomasz Szymanski, Ross Darrow []
Applying reinforcement learning to estimating apartment reference rents
—Jian Wang, Murtaza Das, Stephen Tappert []
Machine learning approach to market behavior estimation with applications in revenue management
—Nitin Gautam, Shriguru Nayak, Sergey Shebalov []
Multi-layered market forecast framework for hotel revenue management by continuously learning market dynamics
—Rimo Das, Harshinder Chadha, Somnath Banerjee []
Artificial Intelligence in travel
—B. Vinod []
The key to leveraging AI at scale
—Deborah Leff, Kenneth T. K. Lim []
The future of AI is the market
—Ross M. Darrow []