| 一种基于数据挖掘技术的馆藏资源个性化推荐服务 |
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| 引用本文： | 王殿佑.一种基于数据挖掘技术的馆藏资源个性化推荐服务[J].情报学报,2008,27(6). |
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| 作者姓名： | 王殿佑 |
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| 作者单位： | 北京控制工程研究所,北京,100080 |
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| 摘 要： | 本文介绍了一种如何将ID3决策树算法和关联规则应用于馆藏文献信息资源的个性化推荐服务当中去的方法.文中首先对读者借阅历史记录进行了挖掘和分析,利用决策树算法挖掘出可推荐的相关读者对象,再依据关联规则提取借阅历史记录并对其进行分析和挖掘,从中找出相关潜在的有用或有价值的规则,然后依据这些规则选择出最适合推荐的项目推荐给读者.该方式是为实现个性化推荐服务所进行的一种新的探讨,具有算法收敛性好,计算方法简单有效,可靠性高,推荐效果显著等优势,与传统推荐技术相比,能够更加全面、准确、清晰地进行文献推荐.理论和实践结果表明,所提出的这种方法是一种行之有效的形式.
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| 关 键 词： | 数据挖掘 个性化服务 决策树 关联规则 图书馆推荐 |
Personalized Recommendation Service of Library Collection Based on Data Mining |
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| Wang Dianyou.Personalized Recommendation Service of Library Collection Based on Data Mining[J].Journal of the China Society for Scientific andTechnical Information,2008,27(6). |
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| Authors: | Wang Dianyou |
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| Institution: | Wang Dianyou (Beijing Institute of Control Engineering,Bering 100080) |
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| Abstract: | This article proposes a new method based on ID3 algorithm and association rules for personalized recommendation service of library.By analyzing a sample borrowing history records from readers and data mining,we first use the ID3 algorithm to find the most suitable reader,then to make the best recommendation for him by association rules.This method has some advantages for its simple computation,effectiveness and reliability.Finally it proves the method is of practical and effective in the reality. |
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| Keywords: | data mining personalized service decision tree association hales library recommendation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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