Accounting for Circumstances in Reputation Assessment (Extended Abstract)

TY - CHAP

T1 - Accounting for Circumstances in Reputation Assessment (Extended Abstract)

AU - Miles, Simon

AU - Griffiths, Nathan

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Multi-agent systems

KW - Provenance

KW - Reputation

M3 - Conference paper

BT - Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

ER -