Trustworthiness tendency incremental extraction using information gain

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

urbano, j (Author) Other; rocha, ap (Author) FEUP; oliveira, e (Author) FEUP

Conference proceedings International

Title: Proceedings - 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2010

Pages: 411-414

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2010, Toronto, Canada, August 31 - September 3, 2010

Indexing

ISI Web of Knowledge

Scopus - 10 Citations

Scientific classification

CORDIS: Physical sciences > Computer science

Other information

Authenticus ID: P-007-WHF

DOI: 10.1109/wi-iat.2010.151

Abstract (EN): 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. © 2010 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4