| Apriori算法在馆藏推荐服务中的研究与应用 |
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| 引用本文： | 严京生,李晓明. Apriori算法在馆藏推荐服务中的研究与应用[J]. 北京电子科技学院学报, 2009, 17(2): 60-66 |
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| 作者姓名： | 严京生 李晓明 |
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| 作者单位： | 北京电子科技学院,北京,100070;北京电子科技学院,北京,100070 |
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| 摘 要： | 为做好馆藏推荐服务的工作，提高推荐书目的准确度，本文采用关联规则挖掘技术和改进的Apriori算法对图书馆自动化系统的流通数据进行分析，从读者的借阅史中得到图书间的关联关系，以此为相似读者推荐图书。本文还分析了影响推荐准确度的主要因素，并提出了改进对策。
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| 关 键 词： | 关联规则 数据挖掘 馆藏推荐 Apriori算法 |
Research and Application of Apriori Algorithm in Collection Recommendation Service |
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| YAN Jing-shen,LI Xiao-ming. Research and Application of Apriori Algorithm in Collection Recommendation Service[J]. Journal of Beijing Electronic Science & Technology Institute, 2009, 17(2): 60-66 |
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| Authors: | YAN Jing-shen LI Xiao-ming |
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| Affiliation: | YAN Jing - shen, LI Xiao - ming (Beijing Electronic Science and Technology Institute, Beijing 100070, China) |
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| Abstract: | In order to provide good service of collection recommendation improve the accuracy of the recommended bibliographic, this article makes analysis on circulation data of LAS via employing association rule mining technology and improved Apriori algorithm, which makes recommendations for similar readers base on the book relationships extracted from reader~ borrowing reading his- tory. We also analyzed main factors that will impact recommendation accuracy and proposed improvement strategy. |
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| Keywords: | Association Rule Data Mining Collection Recommendation Apriori Algorithm |
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