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» Using interest and transition models to predict visitor loca...
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AICOM
2008
46views more  AICOM 2008»
13 years 5 months ago
Using interest and transition models to predict visitor locations in museums
Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky,...
UM
2009
Springer
13 years 12 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
13 years 10 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
12 years 8 months 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...