Graph-based Recommendation in the Museum

Mobile Cultural Heritage (CH) is a challenging area for recommendation. On the one hand visitors to CH sites have their own identity and preferences and on the other hand they may be open for new experiences. Still, in a mobile setting, successful recommendations are those that appear at the top 1 or top 3 results, given the small size of the mobile device screen and the limited attention of the users. We present how graph based techniques may enable combining visitors preferences and contextual aspects for recommendations in CH.