Datasets on Tourism Services in an Emerging Destination: The Case of Riohacha-Colombia

In the context of emerging tourism destinations such as Riohacha, the development of datasets for tourism services such as restaurants and hotels is essential for the design of smart solutions. This study presents two datasets that include detailed information on food types, vegetarian options, payment methods, delivery services and proximity to key locations for restaurants, services, languages and location details for hotels. The main objective is to use these datasets to design recommendation systems that are particularly effective in scenarios with limited data. Through structured data collection methods, 18 datasets for restaurants and 46 datasets for hotels have been compiled, providing a valuable resource for the development of multi-criteria tourism recommendation systems. This detailed and reliable information can serve as a basis for future research on the use of recommender systems and provides a way to build datasets for such solutions that integrate tourism activities and services.