Recommender System for Virtual Assistant Supported Museum Tours
Personalization technology and services have been widely adopted in many domains, especially on
various web platforms. This kind of technology is also finding its way to cultural heritage applications
since it can broaden the interest for visiting cultural sights. Recommendation systems suggest to users
some specific domains that they might be interested in but were unfamiliar with due to their lesser
popularity. In this paper we propose a web service for virtual museum tours that is based on intelligent
virtual assistants that can learn user preferences and provide recommendations regarding museum
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