From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Communications of the ACM
Personalized interfaces for a semantic web portal: tourism information search
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
On the real-time web as a source of recommendation knowledge
Proceedings of the fourth ACM conference on Recommender systems
Mining the real-time web: A novel approach to product recommendation
Knowledge-Based Systems
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This article concerns an emerging research field related to mobility from the transport point of view, linked to the travel information retrieval. To facilitate such a retrieval, we propose the use of recommender systems in a mobility context: these systems facilitate information retrieval, and help prepare the user's trip ("pre-trip": choice of the transport mode, schedule, route, time of the trip, ...) and carry it out ("on-trip": interactive guidance, way visualization, destination planning). This double impact is rarely exploited today and we propose, after a description of the used technologies, to illustrate the benefits of this new approach on a traditional tourist visit example. The originality of this approach lies in 1) its capacities to adapt the recommendations to the user's behavior during his information retrieval correlated to his own movement and 2) the on-line learning capabilities of such a system supporting information retrieval.