A Framework to Choose Trust Models for Different E-Marketplace Environments
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 213-218.
Abstract
Many trust models have been proposed to evaluate seller trustworthiness in multiagent e-marketplaces. Their performance varies highly depending on environments where they are applied. However, it is challenging to choose suitable models for environments where ground truth about seller trustworthiness is unknown (called unknown environments). We propose a novel framework to choose suitable trust models for unknown environments, based on the intuition that if a model performs well in one environment, it will do so in another similar environment. Specifically, for an unknown environment, we identify a similar simulated environment (with known ground truth) where the trust model performing the best will be chosen as the suitable solution. Evaluation results confirm the effectiveness of our framework in choosing suitable trust models for different environments.
@inproceedings{ijcai2013p41,
title = {A Framework to Choose Trust Models for Different E-Marketplace Environments},
author = {Irissappane, Athirai Aravazhi and Jiang, Siwei and Zhang, Jie},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {213--218},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/41},
}
TY - CPAPER TI - A Framework to Choose Trust Models for Different E-Marketplace Environments AU - Irissappane, Athirai Aravazhi AU - Jiang, Siwei AU - Zhang, Jie T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 213 EP - 218 UR - https://ijcai.org/proceedings/2013/41 ER -Copied
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