Currently, the Internet contains a large amount of information, which must then be filtered to determine suitability for certain users. Recommender systems are a very suitable tool for this purpose. Recommender systems use an analysis of a specific type of data to predict user ratings for individual items. Hybrid recommender systems combine various techniques and algorithms to improve the final recommendation for users. In this talk, I will present hybrid recommender systems and an approach for creating the hybrid recommender system using an expert system.