the application of e-learning systems - as one of the solutions to the issue of anywhere and anytime learning – is increasingly spreading in the area of education. content management - one of the most important parts of any e-learning system- is in the concern of tutors and teachers through which they can obtain means and paths to achieve the goals of the course and learning objectives. e-learning recommender systems are designed and developed to improve the quality and effectiveness of learning experience for the students in these systems. personalization has been done and implemented in various forms, particularly based on static features of the learners or dynamic activities of him/her. this shortage of attention to learning style is important to be concerned because of the importance of pedagogical influences on learning experience outcomes. as well as applying the user‘s characteristics in recommendation through using his/her profile, applying the pedagogy of learning is important for the system and this could not take place unless a description of the pedagogy is identified by the system. in this research a method of how to apply and introduce the learners learning style to the recommender system is suggested using data mining techniques. the importance of this study is in the effect of ?applying the leaner‘s learning style in personalization, n the degree of personalization of the e-learning system. in this research we have tried to find out that the possibility of mapping learner‘s behavior in the e-learning system to his/her personality characteristics from learning style perspective or their learning styles.