Tailoring the recommendation of tourist information to heterogeneous user groups

This paper describes the recommendation techniques exploited in INTRIGUE (INteractive TouRist Information GUidE), an adaptive recommender system that supports the organization of guided tours. This system recommends the places to visit by taking into account the characteristics of the group of participants and addressing the possibly conflicting preferences within the group. A group model is exploited to separately manage the preferences of heterogeneous subgroups of people and combine them, in order to identify solutions satisfactory for the group as a whole.