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作 者:曾粦 Zeng Lin
出 处:《图书馆研究与工作》2023年第7期34-41,共8页Library Science Research & Work
基 金:深圳市文化广电旅游体育局2020—2021年度深圳市图书情报科研课题优秀课题项目“用户画像体系下公共图书馆精准化服务研究”(项目编号:2020311)的成果之一。
摘 要:文章基于用户借阅数据构建了图书馆用户群体用户画像及资源画像,深层次挖掘用户的借阅习惯及潜在的行为规律,为公共图书馆基于用户画像及资源画像进行图书馆阅读推广、馆藏建设、空间布局等工作提供决策依据。以公共图书馆为服务主体,基于五年跨度的用户借阅数据对用户借阅行为进行细化和分类,利用聚类分析构建不同用户类别的分类标签,深入挖掘用户的行为属性,依据借阅倾向进行关联挖掘,实现群体用户画像的精准刻画,从而实现基于用户借阅行为及倾向指导书籍推荐、活动推广、馆藏建设、书架的空间布局等,以期实现未来从初级应用推进至对用户的精准服务应用。Based on the reader borrowing data,this paper constructs user portrait and resource portrait of the library reader group,deeply excavates the readers'borrowing habits and potential behavior laws,and provides decision-making basis for the public library's reading promotion,collection construction and spatial layout based on the user portrait and resource portrait.Taking the public library as the service subject,the borrowing behavior of readers is refined and classified based on the borrowing data of readers over a five-year span,and the classification labels of different reader categories are constructed by cluster analysis to deeply mine the behavior attributes of readers,and association mining is carried out according to the borrowing tendency to realize the accurate description of group user portraits.So as to guide book recommendation,activity promotion,collection construction and spatial layout of bookshelves based on readers'borrowing behavior and tendency.After several years of practice,it has begun to take effect.Looking forward to the future,it is gradually promoted from primary application to accurate service application for readers and users.
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