Abstract
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.
Original language | English |
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Pages (from-to) | 1254-1261 |
Number of pages | 8 |
Journal | WSEAS Transactions on Computers |
Volume | 5 |
Issue number | 6 |
Publication status | Published - Jun 2006 |
Keywords
- Direct trust
- Indirect trust
- Reputation
- Trust
- Trust scaling factor