A Recommender System for Enhancing Coastal Tourism

Nowadays, the coastal and maritime tourism sector is playing an increasingly important role thanks to the extraordinary beauty, variety and cultural richness of the coastlines. These represent distinctive places, which allows planning unique pathways able to attract different types of users. In this scenario, the Amalfi coast contains cities with an important touristic-cultural value. However, at the same time, not having the same investments in the tourism sector as in big cities, it needs to be enhanced through innovative methodologies. This paper aims to propose a proper methodology with a high-degree Context-Awareness able offering tailored services through a Recommender System for enhancing coastal and maritime tourism. The main innovation features concern the information content available to end-users (itineraries, points of interest, etc.), which present three different aspects: context representation, data management, inferential engines.