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Personalized services is an effective means to improve the quality of distance learning, as the learning materials and teaching methodology can be tailored toward each learner's interest and knowledge to make teaching and learning more effective. This paper introduces the artificial intelligence idea of ant colony optimization to the design of distance learning systems. The emphasis is given on how to track the learners' interest based on ant colony optimization algorithm. By recording the click frequency and the staying time of the knowledge point, the proposed approach achieves a timely learner's interest tracking, thus dynamically provides suitable personalized learning recommendations to different types of learners.