Trust is indispensible for any user of an e-service in order to make a decision before dealing with any transaction. That's the reason why, users and service providers need various and functional methods to build on-line trust reputation systems. This paper discusses the use of trust management and reputation systems in electronic transactions and particularly in e-commerce applications. It presents a survey of some existing trust reputation systems used in e-commerce applications. This survey proposes a new design for trust reputation systems (TRS) that focuses on the use of semantic feedbacks in order to calculate users' recommendation weights and to classify them according to these weights. This paper highlights the importance of making the distinction between trustful feedbacks or ratings and distrustful ones. It proposes also some methods to follow and to put in practice in order to give the right weight to the right recommendations.
[1]
Félix Gómez Mármol,et al.
TRIMS, a privacy-aware trust and reputation model for identity management systems
,
2010,
Comput. Networks.
[2]
Audun Jøsang,et al.
Taste and Trust
,
2011,
IFIPTM.
[3]
A. Jøsang,et al.
Challenges for Robust Trust and Reputation Systems
,
2009
.
[4]
H. Raghav Rao,et al.
A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents
,
2008,
Decis. Support Syst..
[5]
Wang Tao,et al.
An empirical study of customers' perceptions of security and trust in e-payment systems
,
2010,
Electron. Commer. Res. Appl..
[6]
Ling Liu,et al.
Evaluation of Collecting Reviews in Centralized Online Reputation Systems
,
2010,
WEBIST.