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» Using interest and transition models to predict visitor loca...
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AICOM
2008
46views more  AICOM 2008»
14 years 9 months ago
Using interest and transition models to predict visitor locations in museums
Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky,...
UM
2009
Springer
15 years 4 months ago
Non-intrusive Personalisation of the Museum Experience
Abstract. The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile...
Fabian Bohnert, Ingrid Zukerman
ESWS
2010
Springer
15 years 2 months ago
Finding Your Way through the Rijksmuseum with an Adaptive Mobile Museum Guide
Abstract. This paper describes a real-time routing system that implements a mobile museum tour guide for providing personalized tours tailored to the user position inside the museu...
Willem Robert van Hage, Natalia Stash, Yiwen Wang,...
PERVASIVE
2011
Springer
14 years 9 days ago
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...
Salvatore Scellato, Mirco Musolesi, Cecilia Mascol...