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基于差值诱导的Web服务评价可信度的评估
引用本文:宫清勃,钮俊,孙秀廷,王奎.基于差值诱导的Web服务评价可信度的评估[J].电信科学,2016,32(8):90-96.
作者姓名:宫清勃  钮俊  孙秀廷  王奎
作者单位:宁波大学信息科学与工程学院,浙江 宁波315211
基金项目:国家自然科学基金资助项目(61272107;51204185),浙江省自然科学基金资助项目(LY15F020010),浙江省公益技术研究工业资助项目(2014C31059),软件工程国家重点实验室开放课题(SKLSE2014-10-05),嵌入式与服务计算教育部重点实验室开放课题(No.ESSCKF201302)The National Natural Science Foundation of China(61272107;51204185),The Natural Science Foundation of Zhejiang Province of China(LY15F020010),Zhejiang Public Technology Applied Research Project(2014C31059),The Open Project of the State Key Laboratory of Software Engineering(SKLSE2014-10-05),The Open Project of the Key Laboratory of Ministry of Education Embedded System and Service Computing(ESSCKF201302)
摘    要:Web 服务的评价信息为服务选择提供了重要的参考依据,但服务评价信息具有主观性。结合客观QoS(服务质量)属性数据及请求者评分数据,采用差值诱导法评估历史评价信息是否可信。首先利用不同服务请求者调用同一服务产生的不同QoS属性数据,判断请求者之间的相似关系;然后基于该相似关系,融入对应请求者的主观评分,依据差值法构造可信度评估算法;最后结合所构造的算法,得出可信度平衡因子,判断请求者的评价是否可信。算法分析以及实验结果表明该方法是可行及有效的。

关 键 词:Web服务  服务请求者  服务评价  可信度评估  

Confidence of comments evaluated for Web service based on difference-induced
Qingbo GONG,Jun NIU,Xiuting SUN,Kui WANG.Confidence of comments evaluated for Web service based on difference-induced[J].Telecommunications Science,2016,32(8):90-96.
Authors:Qingbo GONG  Jun NIU  Xiuting SUN  Kui WANG
Affiliation:College of Information Science and Engineering,Ningbo University,Ningbo 315211,China
Abstract:Historical comments of requestors provide important references for Web service selections.However,the information is subjective.An approach to evaluate the confidence of the comments through differential induction based on data of objective QoS(quality of service)and subjective score of comments was proposed.Firstly,the similarity relation between requestors was judged,according to different values of QoS produced by the same service invoked by more than one requestor.Then,the evaluation algorithm of confidence was built based on previous similarity relation and the subjective score of the corresponding requestor.Finally,the balanced factor of confidence formed by the algorithm assessed whether the comments from requestors are reliable.Algorithm analysis and experimental results show that the method is feasible and effective.
Keywords:Web service  service requestor  service rating  credibility evaluation
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