Abstract
This article describes the general architecture and function of an intelligent recommendation system aimed at supporting a leisure traveler in the task of selecting a tourist destination, bundling a set of products, and composing a plan for the travel. The system enables the user to identify his/her own destination and to personalize the travel by aggregating elementary items (additional locations to visit, services, and activities). Case-based reasoning techniques enable the user to browse a repository of past travels and make possible the ranking of the elementary items included in a recommendation when these are selected from a catalogue. The system integrates data and information originating from external, already existent, tourist portals exploiting an XML-based mediator architecture, data mapping techniques, similarity-based retrieval, and online analytical processing.