摘要
为了有效提升高等院校中图书管理的效率和准确性,提出一种基于云计算平台的高校图书管理个性化服务方法。首先使用4层架构建立云计算数字化图书服务平台框架,并以图书信息访问用户为角色中心,设计云计算访问实现过程中的用户服务模型。然后采用基于三层贝叶斯的主题挖掘模型,以非监督的机器学习方法实现个性化图书服务。实验结果验证了所提方法的可行性。此外,平均绝对误差计算结果显示,相比传统方法,所提方法具有较高的服务效率。
A cloud computing platform based personalized service method for university book management is proposed to improve the efficiency and accuracy of book management in colleges and universities effectively.The framework of digital book service platform based on cloud computing is established by using four.layer architecture.The user service model in the process of cloud computing access is designed by taking the book information access user as the role center.The topic mining model based on three.layer Bayesian and unsupervised machine learning method are used to realize the personalized book service.The feasibility of the proposed method is verified with experimental results.The average absolute error calculation results show that the proposed method has higher service efficiency than the traditional method.
作者
赵慧岩
ZHAO Huiyan(Langfang Radio & TV University,Langfang 065000,China)
出处
《现代电子技术》
北大核心
2019年第3期93-95,100,共4页
Modern Electronics Technique
关键词
云计算
高校图书管理
主题挖掘模型
个性化
机器学习
用户服务模型
cloud computing
university book management
topic mining model
personalization
machine learning
user service model
