基于图书馆数字资源访问系统的读者行为数据挖掘研究

Data Mining on Reader Behaviors Based on Library Digital Resource System

通过分析读者在图书馆数字资源系统的行为日志数据,可以准确的挖掘出读者的真实需求,更好的为读者提供个性化服务。文章先介绍了读者行为分析在图书馆行业的研究现状,以及对读者行为挖掘的研究意义,然后介绍了对读者在数字资源访问系统中的访问日志数据进行数据采集、数据挖掘的方法,构建了读者行为分析系统模型。

The paper accurately achieved the actual acquirements of readers and provide better personalized service for readers by analyzing the behavior log data of library digital resource system. Firstly, the progress of the research on reader behaviors was introduced. Secondly, the meaning of the reader behavior data mining was described： Finally, the method for data acquisition and data mining in the digital resource system for readers in digital resource visiting system was introduced, and the reader behavior analysis system model was constructed.