A Multi-Agent Recommender System for Planning Meetings

In this work we address the problem of arranging meetings for several participants taking into consideration constraints for personal agendas and transportation schedules. We have implemented a multi-agent recommender system that solves the problem. Building such applications implies to consider two main issues: collecting information from different sources on the Internet, and solving the problem itself. We show that multi-agent systems that use constraint satisfaction for modelling and solving problems can be very suitable for this kind of systems.