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As the network has become an important platform for people to exchange information, online learning is becoming one of the human’s main channels for learning. In order to improve e-learning efficiency, the establishment of personalized recommendation system has becoming an urgent problem. At the same time, learner’s interest features are the basis of personalized recommendation system. The paper introduces the data mining technology which helps to analysis the behavioral data reflect the interest features. Then it puts forward the model for personalized recommendation system on the basis of interest feature.

Analysis of Personalized E-Learning System on the Basis of Behavioral Data Mining