Data-driven models for itinerary preferences of air travelers and application for dynamic pricing optimization
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DOI: 10.1057/s41272-017-0095-z
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- Ruben van de Geer & Arnoud V. den Boer, 2022. "Price Optimization Under the Finite-Mixture Logit Model," Management Science, INFORMS, vol. 68(10), pages 7480-7496, October.
- Mourad Boudia & Suraj Mohamed & Nicolas Bondoux & Thierry Delahaye, 2021. "Traveler centric airline offer design and optimization," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(6), pages 634-645, December.
- Thomas Loots & Arnoud V. den Boer, 2023. "Data‐driven collusion and competition in a pricing duopoly with multinomial logit demand," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1169-1186, April.
- Ahmed Abdelghany & Khaled Abdelghany & Ching-Wen Huang, 2021. "An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 227-247, June.
- Yong-Wu Zhou & Chuanying Chen & Yuanguang Zhong & Bin Cao, 2020. "The allocation optimization of promotion budget and traffic volume for an online flash-sales platform," Annals of Operations Research, Springer, vol. 291(1), pages 1183-1207, August.
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Keywords
travel industry; dynamic pricing; revenue management; discrete choice modeling; machine learning; airlines; support vector machine;All these keywords.
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