Evaluating reputation of web services under rating scarcity

Xin Zhou, Donghui Lin, Toru Ishida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


With the proliferation of Web services, more and more functionally equivalent services are being published by service providers on the Web. Although more services mean more flexibility for consumers, it also increases the burden of choosing as consumers may have little or no past experience with the service they will interact with. Therefore, reputation systems have been proposed and are playing a crucial role in the service-oriented environment. Current reputation systems are mainly built upon the explicit feedback or rating given by consumers after experiencing the service. Unfortunately, services at the cold-start stage, prior to being rated, face the rating scarcity problem. In this paper, we focus on this problem and address it through a novel reputation model that uses the Elo algorithm to consider consumer-implicit information in a graph analysis approach. A theoretical analysis is conducted to identify the sufficient and necessary condition for the model to converge to a stable state. Furthermore, experiments confirm our model outperforms the widely adopted reputation algorithm in both accuracy and convergence in the situation of rating scarcity.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Services Computing, SCC 2016
EditorsJia Zhang, John A. Miller, Xiaofei Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781509026289
Publication statusPublished - 2016 Aug 31
Externally publishedYes
Event2016 IEEE International Conference on Services Computing, SCC 2016 - San Francisco, United States
Duration: 2016 Jun 272016 Jul 2

Publication series

NameProceedings - 2016 IEEE International Conference on Services Computing, SCC 2016


Conference2016 IEEE International Conference on Services Computing, SCC 2016
Country/TerritoryUnited States
CitySan Francisco


  • Implicit information
  • Rating scarcity
  • Reputation model
  • Web services

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software


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