文章基本信息

标题：Automatic Mashup Creation Based on Category-Aware Service Clustering
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作者：P. Radhika ; G. Nisha ; K.Nalini 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：33
期号：3
页码：105-108
DOI：10.14445/22312803/IJCTT-V33P122
出版社：Seventh Sense Research Group
摘要：Mashup are a combination of two or more data sources that have been integrated into one service. The number of services are increased in the internet with different category. Since the mashup developers are not clear about select the best service in the internet. However the existing recommendation approach have the list to category the service. Which has deficiencies the meaningless services are ranked. It affect the recommendation approach then the clustering the service not consider the space to stored in database. The proposed system have two algorithm for ranking the services are create the mashup. First kmeansvariant(vkmean) algorithm is used for clustering the service based on collaborative filtering. Second the slicing algorithm is implemented for partition the service and reduce the space for cluster the service. The ranking method is used to rank the service.
关键词：vkmeans; SCRR; CDRR; Mashup; Slicing algorithm.