【摘要】 融合用户画像为学习者推荐学习伙伴，有助于解决在线学习者的孤独感问题，提高学习者的参与度和忠诚度。分析学习者特征，从基本信息、学习准备、学习风格、学习行为四个方面设计画像标签，采集网络教学平台数据，进行建模处理，利用相似度区分相似、互补学习者画像，从而为学习者推荐同、异质学习伙伴。实验结果验证了学习者画像和推荐方法的可行性。融合学习者画像推荐学习伙伴的方法更具个性化、动态化等特点，更适合网络教学环境。更多还原

【Abstract】 Integrating user portraits to recommend learning partners for learners can help solve the loneliness problem of online learners and improve learners’ participation and loyalty. Analyze the characteristics of learners, design portrait labels from four aspects: basic information, learning preparation, learning style, and learning behavior, collect data from the online teaching platform, perform modeling processing, and use similarity to distinguish similar and complementary learner portraits, so as to recommend the same and heterogeneous learning partners for learners. The experimental results verify the feasibility of the learner portrait and recommendation method. The method of integrating learner portraits to recommend learning partners is more personalized and dynamic, and is more suitable for online teaching environment.更多还原