欢迎访问中国科学院大学学报,今天是

中国科学院大学学报 ›› 2013, Vol. 30 ›› Issue (1): 117-123.DOI: 10.7523/j.issn.1002-1175.2013.01.018

• 计算机科学 • 上一篇    下一篇

一种基于内容关联的学术资源协同推荐算法

周佳, 罗铁坚   

  1. 中国科学院研究生院计算机与控制学院, 北京 100049
  • 收稿日期:2012-02-21 修回日期:2012-03-23 发布日期:2013-01-15
  • 通讯作者: 周佳
  • 基金资助:

    国家自然科学基金(61103131)资助

Academic resource collaborative recommendation algorithm based on content correlation

ZHOU Jia, LUO Tie-Jian   

  1. School of Computer and Control Engineering, Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-02-21 Revised:2012-03-23 Published:2013-01-15

摘要:

利用学习者的关注点集中等特性,提出用网络日志推断学习意图、以内容关联匹配兴趣主题的理论框架和相应的协同推荐算法.实验表明,算法的覆盖率与经典方法无显著性差异,准确率提高5.13%,响应时间缩减为1/9,并在训练测试比小于50%时准确率提高6.73%.

关键词: 学术资源推荐, 协同过滤, 内容关联

Abstract:

We propose an academic resource collaborative recommendation algorithm by analyzing Web log to find learner's intention and mining content correlation to match interest. Experiments show that there is no significant difference in coverage between our algorithm and the existing method. The accuracy is improved by 5.13% and the response time reduces to 1/9. The accuracy is improved by 6.73% when the training/test ratio is less than 50%.

Key words: academic resource recommendation, collaborative filtering, content correlation

中图分类号: