聚类分析在图书馆读者群体细分中的研究和应用

摘要

The segmentation of reader groups is the foundation of the library targeted services and personalized service. Based on historic book borrow log, the paper uses duster analysis in data mining to achieve the segmentation of reader groups from the readers＇activity in borrowing books and the reader＇s demands for literature,which provides assistant decision - making support to book recommendation and book management for the readers. Result shows that the duster analysis has strong maneuverability and practicability in the segmentation of reader groups.%读者群体细分是实现图书馆针对性服务和个性化服务的基础。运用数据挖掘中的聚类分析方法，以图书历史借阅日志为依据，从读者借阅图书的活跃度和读者对文献的需求度两个层面实现了读者群体细分，为图书馆的图书采访、读者管理及图书推荐等工作提供了辅助决策支持。实践表明，聚类分析在图书馆读者群体细分中具有较强的可操作性和实用性。