Recommender System Based on Knowledges

The article deals with the actual scientific and technical task of developing a recommender system that uses knowledge about the subject area for a more complete and accurate analysis of the problem situation. In the approach proposed by the authors, knowledge about the subject area is expressed by a computer model, which, under certain parameters, returns a vector of the simulation results. Both vectors of values are significant criteria on the basis of which recommendations are made. A special approach to the architecture of the information space, in which the interaction of recommender and modeling systems is implemented, provides ample opportunities for applying this approach in a wide class of problems.