A Novel Method for Calculating Service Reputation

作者：Wu Yan; Yan ChunGang; Ding ZhiJun; Liu GuanJun; Wang PengWei; Jiang ChangJun; Zhou MengChu^*

来源：IEEE Transactions on Automation Science and Engineering, 2013, 10(3): 634-642.

DOI：10.1109/TASE.2013.2238231

• Business
• electronic commerce
• olfactory response
• particle swarm optimization
• performance evaluation
• service reputation
• web service
• workflow

Owing to their rapid development, services are increasing rapidly in quantity. The consequence is that there are so many services that share the same or similar functions. Therefore, it is important to select a credible and optimal service. Reputation as one of the important parameters of services plays a significant role in the decision support for service selection. This paper proposes a novel two-phase method to calculate service reputation. The first phase uses a dynamic weight formula to calculate reputation such that it can reflect the latest tendency of a service. The second one uses an olfactory response formula to mitigate the negative effect of unfair ratings. Some experiments are conducted and the results validate the effectiveness of the proposed method.

• 出版日期2013-7
• 单位同济大学