Title :
Framework of Reputation Aggregation Management for Service-Oriented Business Ecosystems
Author :
Le Xin ; Yushun Fan
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
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.
Keywords :
Web services; customer satisfaction; customer services; quality of service; QoS; aggregation function; business service; cross-platform feedback based reputation management; customer comprehensive requirement; customer preference; quality of service; reputation aggregation management framework; reputation based trust; service recommendation; service selection; service-oriented business ecosystem; Business; Conferences; Data models; Ecosystems; Quality of service; Web services; business services; customer´s preference; reputation aggregation; trust and reputation;
Conference_Titel :
Service Sciences (ICSS), 2013 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-6258-0
DOI :
10.1109/ICSS.2013.42