A Multi Agent Architecture for Single User and Group Recommendation in the Tourism Domain

Abstract

In this paper, we present a Multi Agent System aimed to support a user or a group of users on the planning of different leisure and tourist activities in a city. The system integrates agents that cooperate to dynamically capture the users profiles and to obtain a list of suitable and satisfactory activities for the user or for the group, by using the experience acquired through the interaction of the users and similar users with the system. Moreover, the system is also able to generate a time schedule of the list of recommended activities thus forming a real activity plan. This paper focuses on the architecture and functional behaviour of our system.