期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：15
页码：3500
出版社：Journal of Theoretical and Applied
摘要：With the increase in the usage of web services in all business activities, the enormous amount of data is created and stored on different cloud servers. It is a challenging task to recommend the appropriate web services according to the demands of the user. The web recommendation techniques mainly concentrate on the mining of the association patterns among the web services from the historical compositions. But, the negative patterns denote the incorrect combination of web services. An accurate service recommendation model is presented by combining the positive patterns with the negative patterns in the large web service network. This paper proposed an intelligent service recommendation model for service usage pattern discovery in secure cloud computing environment. A RuleScore algorithm is proposed for predicting the future service collaboration based on the mined rules. The experiments on the real-time and synthetic datasets show that the proposed model ensures effective recommendation of web services in a large-scale network.
关键词：Association Rule Mining; Cloud Computing; RankScore; Semantic Tag; Web Service Recommendation
