A Novel Architecture for Enhancing Museum Visits Through Recommender Systems, Digital Storytelling, and NFT

Visiting museums requires new technology support to improve the users’ experience. In this field, multimedia tours can reach excellent results by adopting Digital Storytelling techniques and personalization tools, such as Recommender Systems. In particular, this work describes an architecture based on a Recommender System able to identify suitable cultural assets and a nonlinear Digital Storytelling technique for deeply involving users in the cultural experience. For the personalization improvement, the architecture needs to acquire information related to the context in which the visit evolves, exploiting the Internet of Things paradigm. Moreover, the personalization tools’ adoption allows the creation of a unique experience for the user requiring the proposed architecture to provide a non-fungible token (NFT) related to the user experience through integrating the blockchain technology. In the experimental phase, the recommendation approach proposed for the personalization objective is tested on a literature database, obtaining promising results.