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针对数字图书馆推送服务中缺乏对资源访问数据的有效分析,以关联挖掘理论为技术基础,设计出数字图书馆个性化推送服务模型。详细介绍资源访问多维数据集构建、多维数据集上文献资源的关联分析和挖掘方法。实验表明,关联挖掘技术可从资源访问事务中发现资源访问关联以及具有访问行为相似读者群,为个性化推送服务提供决策依据。
In view of the lack of effective analysis of resource access data in the digital library push service, the personalized push service model of digital library is designed based on the association mining theory. Describes in detail the construction of resource access cubes, the associated analysis and mining methods of document resources on multidimensional datasets. Experiments show that association mining technology can find resource access associations and similar readers with similar access behaviors in resource access transactions, and provide decision-making basis for personalized push services.