Learning Resources Recommendation System Based on Education Blog

机译：基于教育博客的学习资源推荐系统

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Writing and browsing education blogs has become one of the important methods of e-learning. Learners can search the interesting resources from these education blogs. However, the traditional blog search only provides keyword-based matching, lacking automatic extraction of learner interests and further interest-related blog recommendation. It describes the design and implementation of an interest mining and learning resources recommendation system. The system adopts interest mining technology and can automatically identify the learner’s interests and recommend interest-related blog initiatively. Experimental result shows that the system is effective.

机译：写作和浏览教育博客已成为电子学习的重要方法之一。学习者可以从这些教育博客中搜索有趣的资源。但是，传统博客搜索仅提供基于关键字的匹配，缺乏自动提取学习者兴趣和进一步的兴趣相关博客推荐。它描述了兴趣挖掘和学习资源推荐系统的设计和实现。该系统采用兴趣采矿技术，可以自动识别学习者的利益并主动推荐兴趣相关的博客。实验结果表明系统有效。

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《International Conference on Computer Science and Software Engineering》|2008年||共3页
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Liu Li-qun;
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中图分类 TP3-53;
关键词
blog; data mining; e-learning; resources recommendation;

机译：博客;数据挖掘;电子学习;资源推荐;

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Learning Resources Recommendation System Based on Education Blog

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