Abstract
With the rapidly growing amount of information available to applications and users on the web, the question of whom and what to trust has become an increasingly important challenge, and effective trust models already play an important role in many intelligent web applications. In this paper, we present six propagation schemes for inferring both trust and distrust. (1) Our schemes are based on a trust score space and preserve trust provenance by simultaneously representing partial trust, partial distrust, partial ignorance and partial inconsistency, and treating them as differen and related concepts. (2) Trust information is obtained through a trusted third party. (3) Experiments based on three datasets give some interesting insight into the performance of propagation schemes. It is shown how prediction error of propagation schemes changes as more and more edges are removed.
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Yuan, J., Li, L., Tan, F. (2013). Dealing with Trust, Distrust and Ignorance. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_46
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DOI: https://doi.org/10.1007/978-3-642-39787-5_46
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