摘要
随着云服务类型和数量不断增长,用户很难从中选择有效的云服务。为解决云环境下海量服务的个性化推荐问题,提出了一种基于类别聚合的个性化推荐算法。首先对数据存储节点上的资源进行分类;然后计算类别之间的相关性;其次寻找资源的最近邻;最后产生推荐集。通过实验数据进行验证,提出的云环境下的协同过滤算法与传统协同过滤算法相比,推荐质量和系统性能都有很大提高。
With the growing of numbers and types of cloud services,user are faced with the issue of how to choose the best cloud service.In order to solve the problem of personalized recommendation of cloud environment,this paper presents a cloud service recommendation algorithm based on category aggregation.Firstly,the resources on the data storage node is classified;secondly,the correlation between the categories is calculated;thirdly,a search of the nearest neighbor of the resources is made;finally,the user recommendation sets are created.Validated by the experiment data,the collaborative filtering algorithm based on cloud computing in this paper,compared with the traditional collaborative filtering algorithm,there has been great improvement in the recommendation quality and system performance.
出处
《常州大学学报（自然科学版）》
CAS
2014年第2期22-25,共4页
Journal of Changzhou University：Natural Science Edition
关键词
云环境
资源分类
类别聚合
个性化推荐
cloud environment
resource classification
category aggregation
personalized recommendation
