A Technological Framework for Personalized Museum Visiting
نویسندگان
چکیده
Visiting museums and archeological sites is usually an amazing experience but sometimes a visitor may get lost in huge exhibitions in which thousands of artifacts are exposed. In this paper we present a system that assists a user in visiting a museum or an archaeological site, providing personalized recommendations, based on an innovative strategy for predicting user behavior. Our approach makes use of an artificial neural network trained on a suitable set of features characterizing the objects of interest and also takes into account site topological information gathered from a Geographical Information System.
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