• DocumentCode
    601271
  • 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
  • fYear
    2013
  • fDate
    11-13 April 2013
  • Firstpage
    55
  • Lastpage
    59
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2013 International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    2165-3836
  • Print_ISBN
    978-1-4673-6258-0
  • Type

    conf

  • DOI
    10.1109/ICSS.2013.42
  • Filename
    6519762