A novel method for calculating service reputation

Yan Wu, Chun Gang Yan, Zhi Jun Ding, Guan Jun Liu, Peng Wei Wang, Chang Jun Jiang, Meng Chu Zhou

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)634-642
Number of pages9
JournalIEEE Transactions on Automation Science and Engineering
Volume10
Issue number3
DOIs
StatePublished - Jul 2013

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Business
  • Electronic commerce
  • Olfactory response
  • Particle swarm optimization
  • Performance evaluation
  • Service reputation
  • Web service
  • Workflow

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