Toward a More Authentic Travel Experience: Exploring the Potential of AI-Powered Recommendations for Unusual Experiences

Idalia Maldonado Castillo () and Jorge Ferrer Tenorio
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Idalia Maldonado Castillo: Escuela Superior de Cómputo-Instituto Politécnico Nacional
Jorge Ferrer Tenorio: Escuela Superior de Cómputo-Instituto Politécnico Nacional

A chapter in Strategic Innovative Marketing and Tourism, 2025, pp 597-604 from Springer

Abstract: Abstract Travelers conduct online research before going on a trip, using social media, travel apps, and websites, Artificial Intelligence (AI) has the potential to provide tailored experiences and provide the best and more unusual experiences. This study aims to improve the travel experience by using an innovative mobile application that provides cool, hidden, and unusual things to do in Mexico City with personalized recommendations. By employing artificial intelligence techniques and machine learning models, the application will identify and recommend tourist destinations that align with the traveler's individual interests. The primary objective is to provide travelers seeking a more authentic and original travel experience, with recommendations guiding users toward less frequented and unusual attractions in Mexico City. Implications about what authentic experiences are will be discussed. The application will provide a conversational agent capable of responding queries, facilitating user interaction, and providing information about the recommended sites.

Keywords: Artificial intelligence; Authentic travel; Conversational agent (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-81962-9_65

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DOI: 10.1007/978-3-031-81962-9_65

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