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A Personalized Recommender System for Travel Information by Sergiu Chelcea; George Gallais; Brigitte Trousse is a scholarly article available to read on EtoBox.

What is A Personalized Recommender System for Travel Information about?

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. Cet article aborde un domaine de recherche en plein essor relatif à la mobilité sous l'angle du transport en y associant la recherche d'information pour se déplacer. Pour faciliter une telle recherche, nous proposons l'utilisation de sys

Author

Sergiu Chelcea; George Gallais; Brigitte Trousse

Publisher

ACM Press

Published

2004

Language

EN