reality: a scalable intelligent travel planner
Proceedings of the 2003 ACM symposium on Applied computing
Mining sequential association rules for traveler context prediction
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
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Travel has many situations where context-aware computing can bring important benefits. In this paper, we describe an approach for integrating context-aware computing to a mobile travel assistant. Travel plans, generated using reality [2], are enriched within compact and powerful structures, called User Task Models. These structures are transferred to a mobile device enabling the support for the traveler during his trip.