Distributing exercises on online platform represents a difficult task. In order to achieve this goal several factors should be considered like student ability, exercise difficulty, the similarity of the exercises, the skills that are involved in the exercise. In this paper the authors aimed to create personalized adaptive recommender system that would take into account the skills that students acquired in the previous interaction. They gathered materials from the internet and used fuzzy partial ordering graph to organize them.