| 基于机器学习的自适应个性化数字图书馆模型研究 |
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| 引用本文： | 李静.基于机器学习的自适应个性化数字图书馆模型研究[J].情报科学,2009,27(8). |
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| 作者姓名： | 李静 |
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| 作者单位： | 河南师范大学,图书馆,河南,新乡,453007 |
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| 基金项目： | 2008河南省高等教育信息化工程项目 |
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| 摘 要： | 由于信息数量和种类增加,用户对数字图书馆期待更多的智能服务.本文提出通过引入机器学习技术来解决此问题,首先简要介绍了机器学习技术,说明了可适应个性化数字图书馆局限性,然后提出基于机器学习的自适应个性化数字图书馆模型,最后探讨了用户模型的自动创建.实践表明,此模型可满足用户对信息的需要,简化信息查找过程.
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| 关 键 词： | 自适应 数字图书馆 机器学习 自动用户模型 |
Research on Adaptive Digital Library Based on Machine Learning Techniques |
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| LI Jing.Research on Adaptive Digital Library Based on Machine Learning Techniques[J].Information Science,2009,27(8). |
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| Authors: | LI Jing |
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| Institution: | Library of Henan Normal University;Xinxiang 453007;China |
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| Abstract: | The amount and types of information are increasing,so users require more intelligent services from digital library.In this paper,the machine learning technology is introduced to solve this problem.Firstly the paper describes machine learning technology briefly,and introduces the limitations of personalized digital library.Then the adaptive personalized digital library model based on machine learning is presented.Finally,the process of the automated user model is illustrated.It is proves that this model can ... |
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| Keywords: | adaptive digital library machine learning automated user model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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