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conference paper

Aggregating Reputation Feedback

Garcin, Florent  
•
Faltings, Boi  
•
Jurca, Radu  
2009
Proceedings of the First International Conference on Reputation: Theory and Technology
1st International Conference on Reputation: Theory and Technology

A fundamental task in reputation systems is to aggregate multiple feedback ratings into a single value that can be used to compare the reputation of different entities. Feedback is most commonly aggregated using the arithmetic mean. However, the mean is quite susceptible to outliers and biases, and thus may not be the most informative aggregate of the reports. We consider three criteria to assess the quality of an aggregator: the informativness, the robustness and the strategyproofness, and analyze how different aggregators, in particular the mean, median and mode, perform with respect to these criteria. The results show that the arithmetic mean may not always be the best choice.

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Type
conference paper
Author(s)
Garcin, Florent  
Faltings, Boi  
Jurca, Radu  
Date Issued

2009

Published in
Proceedings of the First International Conference on Reputation: Theory and Technology
Volume

1

Issue

1

Start page

62

End page

74

Subjects

aggregation

•

user feedback

•

ranking

•

reputation

URL

URL

http://www.reputation09.net
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIA  
Event nameEvent placeEvent date
1st International Conference on Reputation: Theory and Technology

Gargonza, Italy

March 2009

Available on Infoscience
July 22, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/41754
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