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Trust inference, which is the mechanism to build new pair-wise trustworthiness relationship based on the existing ones, is a fundamental integral part in many real applications, e.g., e-commerce, social networks, peer-to-peer networks, etc. State-of-the-art trust inference approaches mainly employ the transitivity property of trust by propagating trust along connected users (a.k.a. trust propagation), but largely ignore other important properties, e.g., prior knowledge, multi-aspect, etc.
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Yuan Yao
Hanghang Tong
Xifeng Yan
University of California, Santa Barbara
City College of New York
Institute of Software
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Yao et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69de91ce40ea065679558406 — DOI: https://doi.org/10.1145/2488388.2488516
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