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Trustworthiness Tendency Incremental Extraction Using Information Gain

9 years 13 days ago
Trustworthiness Tendency Incremental Extraction Using Information Gain
Computational trust systems are getting popular in several domains such as social networks, grid computing and business-to-business systems. However, the estimation of the trustworthiness of agents is not trivial in scenarios where the existing trust evidences are scarce. We propose an online, situation-aware trust model that uses the information gain metric to dynamically extract tendencies of failure of target agents, improving the process of selection of partners in a relevant way. Experimental results presented in this paper show that our proposal outperforms other trust approaches in contextual scenarios.
Joana Urbano, Ana Paula Rocha, Eugenio Oliveira
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where IAT
Authors Joana Urbano, Ana Paula Rocha, Eugenio Oliveira
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