基于数据挖掘算法的电子图书馆智能推荐技术研究
On Intelligent Recommendation Technology of Electronic Library Based on Data Mining Algorithm
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摘要: 针对电子图书馆的智能推荐服务,提出了一种基于数据挖掘算法的新方法.此方法采用中图分类号索引树计算读者的兴趣倾向程度,采用改进的K-means聚类方法实现兴趣相近的读者聚类,采用改进的Apriori算法实现关联规则挖掘并形成智能推荐建议.此方法在电子图书馆的实际应用中,为读者提供了预期的推荐服务,3个等级的满意度达到了92.8%.Abstract: A new method based on data mining algorithm has been proposed for the intelligent recommendation service in the electronic library.By this means,tree computing reader's interest tendency has been indexed,by improved k-means clustering method,to realize the clustering of similar interest readers by improved Apriori algorithm realized the association rules mining and intelligent recommendation.This method in the practical application of the electronic library,to provide readers with the expected service,three grades of satisfaction reached 92.8%.
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