A Content-Based Recommender System for Hidden Cultural Heritage Sites Enhancing

The enhancement of Italian artistic and cultural heritage is a big challenge for modern technologies. Modern systems are capable of producing an information flood that, however, keeps users away from what they need. There are fascinating places that often remain hidden due to the overload of information. In this scenario, it would be interesting to introduce a recommendation methodology that brings the right information to the user according to their profile, ensuring a unique and tailored experience. This paper aims to propose a Content-Based Recommender System able to exploit Singular Value Decomposition proprieties. The Recommender System will be used to recommend hidden cultural sites through the support of the Digital Storytelling and Context-Aware approach. Numerical tests return promising results compared with some Collaborative Filtering RS methodologies.