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2013 IEEE 13th International Conference on Data Mining (2009)
Miami, Florida
Dec. 6, 2009 to Dec. 9, 2009
ISSN: 1550-4786
ISBN: 978-0-7695-3895-2
pp: 896-901
This paper analyzes the trustor and trustee factors that lead to inter-personal trust using a well studied Trust Antecedent framework in management science \cite{mayer}. To apply these factors to trust ranking problem in online rating systems, we derive features that correspond to each factor and develop different trust ranking models. The advantage of this approach is that features relevant to trust can be systematically derived so as to achieve good prediction accuracy. Through a series of experiments on real data from Epinions, we show that even a simple model using the derived features yields good accuracy and outperforms MoleTrust, a trust propagation based model. SVM classifiers using these features also show improvements.
Trust prediction, trust ranking, trust antecedent framework
Viet-An Nguyen, Ee-Peng Lim, Aixin Sun, Jing Jiang, "To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework", 2013 IEEE 13th International Conference on Data Mining, vol. 00, no. , pp. 896-901, 2009, doi:10.1109/ICDM.2009.115
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