Providing Personalized Cultural Heritage Information for the Smart Region - A Proposed Methodology.
Antonino Lo Bue, Alan Jay Wecker, Tsvi Kuflik, Alberto Machì, Oliviero Stock · International Conference on User Modeling, Adaptation, and Personalization · 2015
In this paper we present a methodology to provide visitors, in smart regions, additional cultural heritage attractions based on prior museum visits using user models and Linked Open Data. Visitor preferences and behavior are tracked via a museum mobile guide and used to create a visitor model. Semantic models and Linked Open Data support the representation of regional assets as Cultural Objects. The visitor model preferences are exploited using a graph similarity approach in order to identify personalized opportunities for visitors by filtering relevant Cultural Objects.