INDIANA: Personalized Travel Recommendations Using Wearables and AI
Anastasios Manos, Despina Elisabeth Filipidou, Ioannis Deliyannis, Nikolaos Pavlidis, Vasilis Argyros, Ioanna Mazi
Abstract
This work presents a personalized travel recommendation system developed as part of the INDIANA platform, designed to enhance the tourist experience through tailored activity suggestions, by leveraging data from wearable devices, user preferences, current location, weather forecasts, and activity history to provide real-time, context-aware recommendations. The platform not only supports individual tourists in maximizing their travel experience but also offers insights to tourism professionals to enhance service delivery, and by integrating modern technologies such as AI, IoT, and wearable analytics, it provides a seamless, personalized, and engaging experience for travelers.