Accounting for circumstances in reputation assessment

Simon Miles, Nathan Griffiths

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

Reputation, influenced by ratings from past clients, is crucial for providers competing for custom. For new providers with less track record, a few negative ratings can harm their chances of growing. Aside from malicious or subjective ratings, addressed in existing work, an honest balanced review of a service provision may still be an unreliable predictor of future performance if the circumstances differ. For example, while a delivery service may be generally reliable, a particular delivery may be delayed by flooding. A common way to ameliorate the ratings that may not reflect future performance is by weighting by recency. We argue that better results are obtained by querying records of how services are provided for patterns indicating the circumstances of provision, to determine the significance of past interactions.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1653-1654
Number of pages2
Volume3
ISBN (Print)9781450337717
Publication statusPublished - 2015
Event14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 - Istanbul, Turkey
Duration: 4 May 20158 May 2015

Conference

Conference14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015
Country/TerritoryTurkey
CityIstanbul
Period4/05/20158/05/2015

Keywords

  • Circumstances
  • Reputation
  • Trust provenance

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