三网融合下基于用户协同过滤的图书云服务选择  

Book Services Selection based on Collaborative Filtering in Triple-play

作　　者：张龙昌[1] 褚庆[1] 

机构地区：[1]渤海大学信息科学与技术学院,辽宁锦州121013

出　　处：《情报科学》2015年第6期126-130,共5页Information Science

基　　金：教育部人文社会科学研究青年基金项目(12YJC870030);辽宁省教育厅科学技术研究一般项目(L2014451)

摘　　要：随着云计算技术的飞速发展,数字图书馆云平台Saa S层的图书服务数量快速增长,从诸多满足功能需求的图书服务中为用户选择最优服务成为难题。通过区间数来描述三网融合环境下动态不确定的Qo S偏好,基于协同过滤进行聚类分析,得到了候选图书服务对用户的最优度,该方法能够解决三网融合下用户的图书云服务个性化选择,并通过实验证明该方法的可行性和有效性。With the rapid development of cloud computing, the number of book services based on SaaS will grow rapidly, and services have the same functional attributes and different non-functional proper- ties, which makes it difficult for users to decide in service selection. In the service selection under Tri- ple-play, the QoS of the service and the personalization QoS preference of members are uncertain, so the QoS of SaaS service and QoS preference are expressed by interval numbers. This work proposes a SaaS services selection with interval numbers for library users based on collaborative filtering and this ap- proach can obtain the group optimal solution when the QoS preference of member is personalized and the QoS of Book services expressed by interval numbers. Finally, the experimental results demonstrate the fea- sibility and effectiveness of the design method.

关 键 词：云计算 三网融合 服务选择 区间数 协同过滤 

分 类 号：G250.7[文化科学—图书馆学]