Application of business intelligence methods for personalizing tourist services

The tourist web sites usually provide static information which can be accessed by mean of some kind of search/filter forms. The next step in the evolution of this services is to inculde some kind of Decision Support Systems Which easy the task of finding What the user is looking for. In this paper we describe a system capable of generating the routes which better fits the user characteristics and preferences. The system uses a clustering/classification process for selecting the most interesting locations to visit according to the list of most historically visited locations included by similar tourist in their travels. Once determined the points of interest the system performs a process for selecting the most adequate routes connecting those points, taking into account the tourist characteristics and the knowledge about the location to visit.

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