-This paper introduces an Adaptive Context Aware Recommender system based on the Slow Intelligence approach. The system is made available to the user as an adaptive mobile application, which allows a high degree of customization in recommending services and resources according to his/her current position and global profile. A case study applied to the town of Pittsburgh has been analyzed considering various users (with different profiles as visitors, students, professors) and an experimental campaign has been conducted obtaining interesting results.
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Campania is one of the most important region of Italy for its Cultural Heritage, in fact UNESCO has already declared five World Heritage Sites and many others, considered "minor", that are not adequately promoted in spite of their high artistic value. Cultural Heritage is an inestimable resource that should be protected, preserved and promoted by "inserting" it in the digital ecosystem of a Smart City, where economic, tourist, recreational and logistic aspects are all considered together. In this paper, it is introduced and described a framework for the description of the archaeological evidences and artistic artefacts according to the main standards that are in literature. A case study related to the description of archaeological excavations is analysed
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