Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
GECKOmmender: Personalised Theme and Tour Recommendations for Museums
verfasst von : Fabian Bohnert, Ingrid Zukerman, Junaidy Laures
Erschienen in: User Modeling, Adaptation, and Personalization
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We present G
ecko
mmender
, a mobile system for personalised theme and tour recommendations in museums, based on a digital site-map representation. Star ratings provided by visitors for seen exhibits are used to predict ratings for unvisited exhibits. The predicted ratings in turn form the basis for recommendations. These recommendations are presented in one of three display modes:
StarMap
– stars on the site map,
HeatMap
– colours from green to red that indicate the interestingness of exhibits (from interesting to not interesting respectively), and
TourPlann
– directed personalised tours through the museum. G
ecko
mmender
was evaluated in a field study at Melbourne Museum (Melbourne, Australia). Our results show that (1) most participants enjoyed G
ecko
mmender
, (2) G
ecko
mmender
’s recommendations often reflected the participants’ personal interests, and (3)
HeatMap
was the most popular display mode.