Utilizing customer satisfaction in ranking prediction for personalized cloud service selection

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• 作者：Shuai Ding^a ; ^bAuthor Vitae ; Zeyuan Wang^a ; ^bAuthor Vitae ; Desheng Wu^c ; ^e ; ^{dwu@ucas.ac.cn}Author Vitae ; David L. Olson^dAuthor Vitae
• 关键词：Cloud service ; QoS ranking ; Collaborative filtering ; Similarity computation ; Customer satisfaction
• 刊名：Decision Support Systems
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：93
• 期：Complete
• 页码：1-10
• 全文大小：1059 K
• 卷排序：93

文摘

We present a ranking-oriented prediction method intended to assist in discovering cloud service candidates with highest customer satisfaction. Our proposed approach encompasses both ranking similarity estimation and cloud service ranking prediction, considering customer preferences and expectations. A customer satisfaction function is presented to determine preference values regarding pairs of services. We show that the proposed method outperforms other competing methods.