Cultural heritage is a domain in which new technologies and services have a special impact on people approach to its spaces. Technologies are changing the role of such spaces, allowing a more in-depth knowledge diffusion and social interactions. Static places become dynamic cultural environments in which people can discover and share new knowledge. Nowadays, cultural heritage is approaching to a new digital era in which people become active elements, as recipients of the actions ensuring the sustainability of such heritage, both moneywise but also simply as the perceived quality of life. In this perspective, this paper presents a novel recommender system to individual and people group in order to create a social recommendation service for cultural ICT applications. As key aspect of the presented work, we introduce a method for discovering and exploiting social affinity between users based on artwork features and user experience. In addition, we propose an architecture of the recommender system related with the affinity and discuss the architecture in terms of sparsity, group recommendation, and sustainability.
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This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIP) (NRF-2014R1A2A2A05007154).
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Hong, M., Jung, J.J., Piccialli, F. et al. Social recommendation service for cultural heritage. Pers Ubiquit Comput 21, 191–201 (2017). https://doi.org/10.1007/s00779-016-0985-x
- Cultural heritage
- Recommender systems
- Social network service
- Social affinity