关联规则与图书馆书目推荐 |
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引用本文: | 陈定权,朱维凤. 关联规则与图书馆书目推荐[J]. 情报理论与实践, 2009, 32(6): 81-84 |
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作者姓名: | 陈定权 朱维凤 |
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作者单位: | 中山大学,资讯管理系,广东,广州,510275;中山大学,资讯管理系,广东,广州,510275 |
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摘 要: | 文章分析了现有的图书馆书目推荐系统和商务书目推荐系统存在的不足,介绍了数据挖掘中的关联规则及其在图书馆书目推荐的应用.最后以简单的图书借阅例子说明Apriori算法的应用,通过分析大量历史借阅记录,对读者的借阅提供个性化的推荐服务.
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关 键 词: | 图书馆 关联规则 书目 数据挖掘 个性化信息服务 |
Association Rules & Library Bibliographic Recommendation |
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Abstract: | Based on the analysis of the deficiencies of the current bibliographic recommendation system in the library and the current commercial bibliographic recommendation system,this article describes the association rules in data mining and their applicationsin bibliographic recommendation in the library.Finally,the paper takesthe book borrowing for example to explain the application of Apriori algorithm,and by analyzing a large number of historic borrowing records,providesindividual recommendation service for us... |
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Keywords: | library association rules bibliography data mining individual information service |
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