GECKOmmender: Personalised Theme and Tour Recommendations for Museums

  • Fabian Bohnert
  • Ingrid Zukerman
  • Junaidy Laures
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7379)

Abstract

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

Keywords

Travel Salesman Problem Travel Salesman Problem Display Mode Museum Visitor Personalise Theme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fabian Bohnert
    • 1
  • Ingrid Zukerman
    • 1
  • Junaidy Laures
    • 1
  1. 1.Faculty of Information TechnologyMonash UniversityClaytonAustralia

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