A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services

doi:10.1109/TSC.2016.2638812

	A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services
	Wang, Miao 1; Wang, Guiling 2; Zhang, Yujun 1; Li, Zhongcheng 1
	2019-11-01
发表期刊	IEEE TRANSACTIONS ON SERVICES COMPUTING
ISSN	1939-1374
卷号	12 期号:6 页码:836-850
摘要	In todays society, there are plenty of services available, and customers are facing bigger challenge in choosing them than ever before. Therefore, it is important to build a reliable reputation mechanism for selecting a credible service. To address the challenges of reputation evaluation, including the diverse and dynamic natures of services, incompleteness of user feedback, and intricacy of malicious ratings, a High-reliability Multi-faceted Reputation evaluation mechanism for online services (HMRep) is proposed. First, HMRep starts with addressing the incomplete feedback and estimates missing ratings based on both the service quality and a users rating behavior. Second, HMRep identifies and removes malicious collusive raters and irresponsible raters to improve the accuracy of reputation calculation. Further, the reputation calculation is based on the user credibility and incorporates historical information to reflect the change of the services. Finally, we provide a multi-faceted evaluation method to satisfy some specific needs of customers who are only concerned about a subset of a services features. Experimental results verify the design of HMRep, and reveal HMRep can effectively defend against malicious ratings, and accurately calculate the reputation values of services. HMRep can be applied in lots of sectors for different kinds of services, especially those complex ones.
关键词	Feedback Measurement Reliability Security Indexes Reputation evaluation incomplete user feedback malicious ratings index weights
DOI	10.1109/TSC.2016.2638812
收录类别	SCI
语种	英语
资助项目	973 Program of China[2012CB315804] ; National Natural Science Foundation of China[61402446] ; National Natural Science Foundation of China[61572474] ; National Natural Science Foundation of China[61672500] ; National Natural Science Foundation of China[61133015] ; Instrument Developing Project of CAS[YZ201426] ; National S&T Support Project of China[2012BAH45B01]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000502853000001
出版者	IEEE COMPUTER SOC
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14975
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Miao
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA
推荐引用方式 GB/T 7714	Wang, Miao,Wang, Guiling,Zhang, Yujun,et al. A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services[J]. IEEE TRANSACTIONS ON SERVICES COMPUTING,2019,12(6):836-850.
APA	Wang, Miao,Wang, Guiling,Zhang, Yujun,&Li, Zhongcheng.(2019).A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services.IEEE TRANSACTIONS ON SERVICES COMPUTING,12(6),836-850.
MLA	Wang, Miao,et al."A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services".IEEE TRANSACTIONS ON SERVICES COMPUTING 12.6(2019):836-850.