In this paper it is investigated a structure of the SMART tourism recommender system. Basic approaches for generating recommendations in an automated mode for selecting the best tourist routes in the SMART City Tourism network has been determined. This approaches are based on the analysis of the accumulated information about the most popular tourist destinations. It is proposed a mathematical model which provides, on the basis of knowledge about tourist sites, the possibility of construction optimal sequence of tourist routes. The proposed algorithm are based on the technology of online analytical processing of OLAP data selected from DW and organized in the form of OLAP Cubes
