Cloud Community Discovery based on Group Preference
Identification of the users”service preferences and discovery of user groups with similar preferences will have great significance for the development of personalized services recommendation system as well as user group-oriented customized services.This paper presented a concept of cloud community and designed a cloud community discovery algorithm based on group preferences.The algorithm mines service preferences similarity between cloud users based on a bipartite network structure,and then uses the improved agglomerative hierarchical clustering algorithm to identify cloud community structure.In the clustering process,group preferences intensity is introduced to determine the optimal community structure.Finally,the effectiveness of the algorithm was validated by the simulations.
Service preferences Cloud community Community discovery
Yan Wang Jiantao Zhou
College of Computer Science,Inner Mongolia University,Huhhot 010021,China
国内会议
济南
英文
1-8
2014-10-16（万方平台首次上网日期，不代表论文的发表时间）