摘要
Trust and reputation are being used by commercial reputation or rating systems for online trading communities over Internet. Evaluation of trust for an unknown agent in web environment is a challenging job. In this paper, we propose a novel evidential trust evaluation algorithm (NETEA) for computing recommendation trust by modifying parallelization algorithm [1] suggested for Bayesian social networks. In order to solve the problem, a definition of trust scaling factor (TSF) has been proposed. This is extension to our previous work [2]; here we apply Dempster-Shafer (Evidential) theory for computing recommendation trust. We identify limitations and propose some extensions for reliable trust evaluation using new decision fusion techniques.
源语言 | 英语 |
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页(从-至) | 1254-1261 |
页数 | 8 |
期刊 | WSEAS Transactions on Computers |
卷 | 5 |
期 | 6 |
出版状态 | 已出版 - 6月 2006 |