Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102759
Title: A generalized stereotypical trust model
Authors: Fang, Hui
Zhang, Jie
Sensoy, Murat
Thalmann, Nadia Magnenat
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Fang, H., Zhang, J., Sensoy, M., & Thalmann, N. M. (2012). A generalized stereotypical trust model. 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp.698 - 705.
Abstract: Stereotypical trust modeling can be adopted by a buyer to effectively evaluate trustworthiness of a seller who has little or no past experience in e-marketplaces. The buyer forms trust stereotypes based on her past experience with other sellers. However, when the buyer has limited past experience with sellers, the formed stereotypes cannot accurately reflect her trust evaluation towards sellers. To address this issue, we propose a novel generalized stereotypical trust model. Specifically, we first build a semantic ontology to represent hierarchical relationships among seller attribute values. We then propose a fuzzy semantic decision tree (FSDT) learning method to construct trust stereotypes that generalizes over seller non-nominal attributes by splitting their values in a fuzzy manner, and generalizes over nominal attributes by replacing their specific values with more general terms according to the ontology. Experimental results confirm that our proposed model can more accurately measure the trustworthiness of sellers in simulated e-marketplaces where buyers have limited experience with sellers.
URI: https://hdl.handle.net/10356/102759
http://hdl.handle.net/10220/16872
DOI: 10.1109/TrustCom.2012.29
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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