Recommender System for Virtual Assistant Supported Museum Tours

Aleš Tavčar, Antonya Csaba, Eugen Valentin Butila


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


Full Text:


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.