DocumentCode :
3206428
Title :
Role-based Recommendation and Trust Evaluation
Author :
Wang, Yan ; Varadharajan, Vijay
Author_Institution :
Macquarie Univ., Sydney
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
278
Lastpage :
288
Abstract :
In general, in most trust evaluation systems, the evaluation of a target party under investigation relies on the trust ratings from responding peers/parties who have direct interactions with the target party. This involves recommendations and the trust evaluation on recommendations. The evaluation on the recommendations by the recommendation receiver depends on a few factors, which include the roles of the recommender in the domain of the target being recommended, the recognition of these roles by the recommendation receiver, and the recommendation reputation (trust) of the recommender. In this paper, we propose a novel role-based recommendation and trust evaluation framework (RBRTE), which takes the above factors into account.
Keywords :
information filters; security of data; recommendation receiver; recommendation reputation; role-based recommendation; trust evaluation framework; trust evaluation systems; trust ratings; Books; Data analysis; Electronic commerce; Feedback; History; Motion pictures; Network servers; Peer to peer computing; Sections; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, 2007. CEC/EEE 2007. The 9th IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7695-2913-5
Type :
conf
DOI :
10.1109/CEC-EEE.2007.83
Filename :
4285225
Link To Document :
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