@inproceedings{5602e140d1ac462dbb9d15f2c7843fdb,
title = "An adaptive recommendation trust model in multiagent system",
abstract = "This paper presents the design of a trust model to derive recommendation trust from heterogeneous agents. The model is a novel application of neural network in evaluating multiple recommendations of various trust standards with and without deceptions. The experimental results show that 97.22% estimation errors are less than 0.05. The results also show that the model has robust performance when there is high estimation accuracy requirement or when there are deceptive recommendations.",
author = "Weihua Song and Phoha, {Vir V.} and Xin Xu",
year = "2004",
language = "English (US)",
isbn = "0769521010",
series = "Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004",
pages = "462--465",
editor = "N. Zhong and J. Bradshaw and S.K. Pal and D. Talia and J. Liu and N. Cercone",
booktitle = "Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Systems. IAT 2004",
note = "Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004 ; Conference date: 20-09-2004 Through 24-09-2004",
}