Titlebook: Artificial Intelligence and Machine Learning in the Travel Industry; Simplifying Complex Ben Vinod Book 2023 The Editor(s) (if applicable)

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Price elasticity estimation for deep learning-based choice models:an application to air itinerary cropean market data. The results show clear differences in price elasticity between leisure and business trips. Overall, the demand for trips is price elastic for leisure and inelastic for the business segment. Moreover, the approach is flexible enough to study elasticity on different dimensions, sho

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How recommender systems can transform airline offer construction and retailing,de more accurate, contextualized and personalized offers to customers. This paper contains a systematic review of the different families of recommender system algorithms and discusses how the use cases can be implemented in practice by matching them with a recommender system algorithm.

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A note on the advantage of context in Thompson sampling,tion, as is the case in the traditional multi-arm bandit setup. Here, we explore a popular exploration heuristic, Thompson sampling, and note implementation details for multi-arm and contextual bandit variants. While the contextual bandit requires greater computational and technical complexity to in

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https://doi.org/10.1007/978-3-031-25456-7marketing; travel suppliers; software; airlines; OTAs; GDSs

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