摘要
由于单一的读者属性细分方式很难满足个性化服务的需要,提出了4种不同的细分方式,利用系统聚类算法建立了图书馆读者细分模型,并通过大量图书馆流通数据的训练,验证了模型的有效性和实用性。
Because a single readers' property subdivision pattern is difficult to meet the needs of personalized service, this paper presents four different subdivision patterns, and adopting system clustering algorithm, sets up a library readers' subdivision model, and through a large number of library's circulation data,verifies the validation and practicality of the model.
出处
《科技情报开发与经济》
2009年第14期13-15,共3页
Sci-Tech Information Development & Economy
关键词
读者细分模型
个性化服务
系统聚类算法
readers' subdivision model
personalized service
system clustering algorithm