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基于概念格的数字图书馆用户检索行为序列模式挖掘研究*
引用本文:黄微,毕强,滕广青.基于概念格的数字图书馆用户检索行为序列模式挖掘研究*[J].现代图书情报技术,2010,26(3):13-18.
作者姓名:黄微  毕强  滕广青
作者单位:(吉林大学管理学院 长春 130022)
基金项目:*本文系国家自然科学基金项目“基于概念格的数字图书馆知识构建研究”(项目编号:70973044)的研究成果之一。
摘    要:提出一种基于概念格的数字图书馆用户检索行为序列模式挖掘方法。该方法采用“基于概念格的自顶向下与分治相结合”的挖掘思想,通过自顶向下的概念格迭代,利用概念格的复用性和提取频繁项集的优势,获得数字图书馆用户检索行为的序列模式。该方法不需要遍历原始用户信息数据库,能够大大压缩挖掘时间,有助于数字图书馆提高用户检索速度、改进个性化服务。

关 键 词:概念格  数字图书馆  用户检索行为  序列模式
收稿时间:2010-02-22
修稿时间:2010-03-07

Sequential Patterns Mining from Digital Library User’s Retrieval Behavior Based on Concept Lattice
Huang Wei Bi Qiang Teng Guangqing.Sequential Patterns Mining from Digital Library User’s Retrieval Behavior Based on Concept Lattice[J].New Technology of Library and Information Service,2010,26(3):13-18.
Authors:Huang Wei Bi Qiang Teng Guangqing
Institution:(School of Management, Jilin University, Changchun 130022, China)
Abstract:This paper presents a method to mining the sequential patterns from the user’s retrieval behaviors of digital library based on concept lattice. This method searches out the sequential patterns of the user’s retrieval behaviors by mining ideas of “combining top-down and dividing-and-ruling based on concept lattice”, using the application of the re-usability of concept lattice and its advantage in the extraction of frequent itemset. The method does not require comprehensive scanning to the original user information database, and it greatly reduces the time of mining that can help digital libraries to enhance the user retrieval speed, and improve the personalized services.
Keywords:
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