GECKOmmender: personalised theme and tour recommendations for museums

Authors:
Fabian Bohnert;Ingrid Zukerman;Junaidy Laures
Affiliations:
Faculty of Information Technology, Monash University, Clayton, VIC, Australia;Faculty of Information Technology, Monash University, Clayton, VIC, Australia;Faculty of Information Technology, Monash University, Clayton, VIC, Australia
Venue:
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Year:
2012

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Abstract

We present Geckommender, 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. Geckommender was evaluated in a field study at Melbourne Museum (Melbourne, Australia). Our results show that (1) most participants enjoyed Geckommender, (2) Geckommender's recommendations often reflected the participants' personal interests, and (3) HeatMap was the most popular display mode.