Personalized Context-Aware Recommendations in SMARTMUSEUM: Combining Semantics with Statistics

Abstract

Our goal is to enhance on-site personalized access and recommendations for cultural heritage. We have designed and implemented the SMARTMUSEUM platform using adaptive and privacy preserving user profiling. The described recommendation system relies on combining a semantics/ontologies based approach with a data mining/statistics based approach. The paper presents the architecture and main methods of the system.