| 协同过滤在知识推荐中的应用 |
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| 引用本文： | 马彩娟,曹林芬.协同过滤在知识推荐中的应用[J].郑州轻工业学院学报(自然科学版),2013(5):50-53. |
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| 作者姓名： | 马彩娟 曹林芬 |
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| 作者单位： | [1]河南财经政法大学数学与信息科学系,河南郑州450002 [2]河南师范大学数学学院,河南新乡453007 |
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| 基金项目： | 河南省科技厅重点科技攻关项目（112102210199） |
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| 摘 要： | 将电子商务中的协同过滤推荐算法改进之后应用到知识推荐系统中,通过计算学习者的学习目标、学习背景和认知能力等信息的相似性进行用户聚类,然后使用协同过滤算法对相同聚类簇内的用户进行学习资源的推荐.实验结果表明,该方法可提高推荐的准确度和推荐效率,增强学习者满意度;传统协同过滤推荐中的新用户问题、实时性问题在知识推荐过程中也同样存在,具体解决方法将作为未来研究的主要内容.
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| 关 键 词： | 知识推荐 聚类 协同过滤 个性化在线学习 |
Application of collaborative filter in knowledge recommendation |
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| MA Cai-juan;CAO Lin-fen.Application of collaborative filter in knowledge recommendation[J].Journal of Zhengzhou Institute of Light Industry(Natural Science),2013(5):50-53. |
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| Authors: | MA Cai-juan;CAO Lin-fen |
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| Affiliation: | MA Cai-juan;CAO Lin-fen;College of Math and Information Science,He＇nan University of Economics and Law;College of Math,He＇nan Normal University; |
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| Abstract: | To introduce modified collaborative filtering recommendation algorithm to knowledge recommendation system,the user cluster was carried out by calculating the similarity of learning objectives,background and cognitive competence between the different learners and then completing recommendation using collaborative filtering algorithm in the user cluster. The results showed that this method could improve the accuracy and efficiency of recommendation,and could meet user＇s meeds. In the process of knowledge recommendation,it also exits new user problem,real-time problem similar to traditional collaborative filtering recommendation. The specific solution method will be the main content of future research. |
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| Keywords: | knowledge recommendation user cluster collaborative filter on-line adaptative learning |
| 本文献已被 CNKI 维普 等数据库收录！ |
