摘要
通过研究序列模式挖掘算法,将序列模式挖掘技术与数字图书馆有机结合。可以从3个方面入手,一是对Web环境下的读者访问日志序列进行挖掘可以为每个读者提供个性化服务;二是依据挖掘得到的被拒集及频繁借阅集可阶段性补充图书馆特色资源;三是利用挖掘技术分析资源利用情况可指引图书馆电子文献资源的采购,实现图书馆智能化服务。
Through researching on sequential pattern mining algorithms, this paper combined sequential pattern mining technology with digital library, and implemented it from three aspects. Firstly, mining readers' access log sequence under web environment could provide personalized service for every reader. Secondly, on the basic of the rejection sets and frequent borrowing sets mined, libraries could periodically supplement characteristic resource. Thirdly, using mining technology and analyzing resource utilization could direct the procurement of library electronic resource and realize intelligent service.
出处
《农业图书情报学刊》
2015年第7期40-43,共4页
Journal of Library and Information Sciences in Agriculture
基金
河北省秦皇岛市科学技术研究与发展计划项目"云计算环境下图书馆信息资源共享与信息服务模式研究"(项目编号:201302A024)
关键词
序列模式挖掘技术
数字图书馆
个性化
特色化
智能化
Sequential pattern mining technique
Digital library
Personalized
Characteristic
Intelligent