Survey on Computational Trust and Reputation Models

被引:65
作者
Braga, Diego de Siqueira [1 ]
Niemann, Marco [1 ]
Hellingrath, Bernd [1 ]
de Lima Neto, Fernando Buarque [2 ]
机构
[1] Univ Munster, ERCIS, Leonardo Campus 3, D-48149 Munster, Germany
[2] Univ Pernambuco, R Benfica 455, BR-50720001 Recife, PE, Brazil
关键词
Computational trust; reputation management systems; TREATING UNOBSERVED HETEROGENEITY; DECISION-MAKING; MANAGEMENT; MECHANISM; INFORMATION; QUALITY; RECOMMENDATION; SECURITY; SYSTEMS; CONTEXT;
D O I
10.1145/3236008
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Over the recent years, computational trust and reputation models have become an invaluable method to improve computer-computer and human-computer interaction. As a result, a considerable amount of research has been published trying to solve open problems and improving existing models. This survey will bring additional structure into the already conducted research on both topics. After recapitulating the major underlying concepts, a new integrated review and analysis scheme for reputation and trust models is put forward. Using highly recognized review papers in this domain as a basis, this article will also introduce additional evaluation metrics to account for characteristics so far unstudied. A subsequent application of the new review schema on 40 top recent publications in this scientific field revealed interesting insights. While the area of computational trust and reputation models is still a very active research branch, the analysis carried out here was able to show that some aspects have already started to converge, whereas others are still subject to vivid discussions.
引用
收藏
页数:40
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