A High-Reliability Multi-Faceted Reputation Evaluation Mechanism for Online Services
文献类型：期刊论文
| 作者 | Wang, Miao2; Wang, Guiling1; Zhang, Yujun2; Li, Zhongcheng2 |
| 刊名 | IEEE TRANSACTIONS ON SERVICES COMPUTING
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 12期号:6页码:836-850 |
| 关键词 | Feedback Measurement Reliability Security Indexes Reputation evaluation incomplete user feedback malicious ratings index weights |
| ISSN号 | 1939-1374 |
| DOI | 10.1109/TSC.2016.2638812 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000502853000001 |
| 出版者 | IEEE COMPUTER SOC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/14974]  |
| 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.New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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