DocumentCode :
3502463
Title :
Computational Trust Model in Online Auctions
Author :
Zhang, Wei
Author_Institution :
Sch. of Inf., Central Univ. of Finance & Econ., Beijing
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
3767
Lastpage :
3770
Abstract :
Aimed at the limitation of traditional trust model in online auctions, considering the characteristic of online auctions, the paper presents five trust decisive factors; then the paper an improved trust model that combines these factors to measure the trustworthiness of participants in online auctions. The simulation results show that compared with the existing models, our model performs more robust and effective.
Keywords :
electronic commerce; security of data; computational trust model; online auctions; online reputation system; participant trustworthiness; trust decisive factor; Aggregates; Artificial intelligence; Computational modeling; Context modeling; Finance; Negative feedback; Particle measurements; Robustness; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.932
Filename :
4340707
Link To Document :
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