STRS: Social network based recommender system for tourism enhanced with trust

Abstract

Nowadays, the development and use of Recommender Systems has grown significantly as a tool to counteract the overload information problem, by selecting a subset of personalized items from a huge set of information based on user preferences. On the other hand, Multi-Agent System applications have shown to be an important area where the Recommender System theory can be applied. This paper presents a tourism Recommender System architecture integrating Multi-Agent Technology and Social Network Analysis, applying trust concepts to create relevant and good quality personalized recommendations trying to solve the tourist Recommender Systems issues. © 2009 Springer-Verlag Berlin Heidelberg.