Modeling a multi-agent tourism recommender system

Abstract

Today’s design of e-services for tourists means dealing with a big quantity of information and metadata that designers should be able to leverage to generate perceived values for users. In this paper we revise the design choices followed to implement a recommender system, highlighting the data processing and architectural point of view, and finally we propose a multi-agent recommender system.