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.

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

Casillo, Mario;Conte, Dajana;Lombardi, Marco;Santaniello, Domenico;Troiano, Alfredo;Valentino, Carmine
2022

Abstract

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.
978-981-16-2101-7
978-981-16-2102-4
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4778595
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact