A case-based reasoning framework to choose trust models for different E-marketplace environments
The performance of trust models highly depend on the characteristics of the environments where they are applied. Thus, it becomes challenging to choose a suitable trust model for a given e-marketplace environment, especially when ground truth about the agent (buyer and seller) behavior is unknown (c...
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sg-ntu-dr.10356-1062132020-05-28T07:17:21Z A case-based reasoning framework to choose trust models for different E-marketplace environments Irissappane, Athirai Aravazhi Zhang, Jie School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence The performance of trust models highly depend on the characteristics of the environments where they are applied. Thus, it becomes challenging to choose a suitable trust model for a given e-marketplace environment, especially when ground truth about the agent (buyer and seller) behavior is unknown (called unknown environment). We propose a case-based reasoning framework to choose suitable trust models for unknown environments, based on the intuition that if a trust model performs well in one environment, it will do so in another similar environment. Firstly, we build a case base with a number of simulated environments (with known ground truth) along with the trust models most suitable for each of them. Given an unknown environment, case-based retrieval algorithms retrieve the most similar case(s), and the trust model of the most similar case(s) is chosen as the most suitable model for the unknown environment. Evaluation results confirm the effectiveness of our framework in choosing suitable trust models for different e-marketplace environments. Published version 2015-07-08T04:35:13Z 2019-12-06T22:06:35Z 2015-07-08T04:35:13Z 2019-12-06T22:06:35Z 2015 2015 Journal Article Irissappane, A. A., & Zhang, J. (2015). A case-based reasoning framework to choose trust models for different E-marketplace environments. Journal of artificial intelligence research, 52, 477-505. 1076-9757 https://hdl.handle.net/10356/106213 http://hdl.handle.net/10220/26350 10.1613/jair.4595 en Journal of artificial intelligence research © 2015 AI Access Foundation. This paper was published in Journal of Artificial Intelligence Research and is made available as an electronic reprint (preprint) with permission of AI Access Foundation. The published version is available at: [http://dx.doi.org/10.1613/jair.4595]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 29 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Irissappane, Athirai Aravazhi Zhang, Jie A case-based reasoning framework to choose trust models for different E-marketplace environments |
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The performance of trust models highly depend on the characteristics of the environments where they are applied. Thus, it becomes challenging to choose a suitable trust model for a given e-marketplace environment, especially when ground truth about the agent (buyer and seller) behavior is unknown (called unknown environment). We propose a case-based reasoning framework to choose suitable trust models for unknown environments, based on the intuition that if a trust model performs well in one environment, it will do so in another similar environment. Firstly, we build a case base with a number of simulated environments (with known ground truth) along with the trust models most suitable for each of them. Given an unknown environment, case-based retrieval algorithms retrieve the most similar case(s), and the trust model of the most similar case(s) is chosen as the most suitable model for the unknown environment. Evaluation results confirm the effectiveness of our framework in choosing suitable trust models for different e-marketplace environments. |
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School of Computer Engineering |
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School of Computer Engineering Irissappane, Athirai Aravazhi Zhang, Jie |
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Article |
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Irissappane, Athirai Aravazhi Zhang, Jie |
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Irissappane, Athirai Aravazhi |
title |
A case-based reasoning framework to choose trust models for different E-marketplace environments |
title_short |
A case-based reasoning framework to choose trust models for different E-marketplace environments |
title_full |
A case-based reasoning framework to choose trust models for different E-marketplace environments |
title_fullStr |
A case-based reasoning framework to choose trust models for different E-marketplace environments |
title_full_unstemmed |
A case-based reasoning framework to choose trust models for different E-marketplace environments |
title_sort |
case-based reasoning framework to choose trust models for different e-marketplace environments |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/106213 http://hdl.handle.net/10220/26350 |
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1681059776540180480 |