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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 technology, the number of library services in the SaaS layer of digital library cloud platform has rapidly increased. It is a challenge to choose the best service for users from many book services that meet the functional requirements. The number of intervals is used to describe the dynamic Qo S preferences in the context of triple play and clustering analysis based on collaborative filtering. The optimal degree of candidate book service to users is obtained. This method can solve the problem that user’s book cloud Service personalized choice, and through experiments to prove the feasibility and effectiveness of the method.