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Artificial Intelligence-Assisted Accommodation Selection in Personalized Tourism Experiences: Cappadocia Region Example
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Author(s): Eda Özgül Özgül Katlav (Faculty of Tourism, Nevsehir Haci Bektas Veli University, Turkey)and Koray Çamlıca (Faculty of Tourism, Nevsehir Haci Bektas Veli University, Turkey)
Copyright: 2026
Pages: 20
Source title:
Harnessing Innovation for Personalized Tourism
Source Author(s)/Editor(s): Spyros Avdimiotis (International Hellenic University, Greece)
DOI: 10.4018/979-8-3373-2053-3.ch004
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Abstract
This chapter explores how artificial intelligence (AI) technologies enhance personalized accommodation selection in experience-based tourism, using the Cappadocia region as a case study. With its unique cave hotels and rich cultural atmosphere, Cappadocia offers an ideal setting to examine how AI tools—such as machine learning, natural language processing, and recommender systems—match tourist preferences with suitable lodging options. The chapter discusses how AI-assisted personalization improves tourist satisfaction, perceived value, and emotional engagement with destinations. Drawing on recent studies, the chapter highlights the growing role of AI in boutique and luxury tourism and addresses challenges such as ethical concerns and data privacy. A conceptual model outlining the AI-driven personalization process is presented, offering practical insights for tourism businesses and policymakers. This chapter provides a timely contribution to the discussion on smart tourism and destination competitiveness through technological innovation.
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