{"title":"Framework of Reputation Aggregation Management for Service-Oriented Business Ecosystems","authors":"Le Xin, Yushun Fan","doi":"10.1109/ICSS.2013.42","DOIUrl":null,"url":null,"abstract":"In Service-Oriented Business Ecosystems, services can be provided and consumed on demand dynamically. However, selection only based on function and QoS is not enough for business services. Reputation based trust is becoming more and more important in selection and recommendation of services. In current reputation management, the lacks of customization and improper aggregation function could lead to dissatisfactory result. In this paper, a cross-platform feedback based reputation management method is proposed to support the customer's comprehensive requirement including preference, and to be able to analyze the evaluation of past consumers more exactly. This model can solve the problems of data structure's difference and rating's unfairness. Finally the implementation framework is introduced to achieve these functions.","PeriodicalId":213782,"journal":{"name":"2013 International Conference on Service Sciences (ICSS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Service Sciences (ICSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSS.2013.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In Service-Oriented Business Ecosystems, services can be provided and consumed on demand dynamically. However, selection only based on function and QoS is not enough for business services. Reputation based trust is becoming more and more important in selection and recommendation of services. In current reputation management, the lacks of customization and improper aggregation function could lead to dissatisfactory result. In this paper, a cross-platform feedback based reputation management method is proposed to support the customer's comprehensive requirement including preference, and to be able to analyze the evaluation of past consumers more exactly. This model can solve the problems of data structure's difference and rating's unfairness. Finally the implementation framework is introduced to achieve these functions.