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RCCtrust: A Combined Trust Model for Electronic Community

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Abstract

Previous trust models are mainly focused on reputational mechanism based on explicit trust ratings. However, the large amount of user-generated content and community context published on Web is often ignored. Without enough information, there are several problems with previous trust models: first, they cannot determine in which field one user trusts in another, so many models assume that trust exists in all fields. Second some models are not able to delineate the variation of trust scales, therefore they regard each user trusts all his friends to the same extent. Third, since these models only focus on explicit trust ratings, so the trust matrix is very sparse. To solve these problems, we present RCCtrust – a trust model which combines Reputation-, Content- and Context-based mechanisms to provide more accurate, fine-grained and efficient trust management for the electronic community. We extract trust-related information from user-generated content and community context from Web to extend reputation-based trust models. We introduce role-based and behavior-based reasoning functionalities to infer users' interests and category-specific trust relationships. Following the study in sociology, RCCtrust exploits similarities between pairs of users to depict differentiated trust scales. The experimental results show that RCCtrust outperforms pure user similarity method and linear decay trust-aware technique in both accuracy and coverage for a Recommender System.

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Authors and Affiliations

  1. College of Computer Science, Zhejiang University, Hangzhou, 310027, China

    Yu Zhang (Student Member, CCF), Hua-Jun Chen, Xiao-Hong Jiang, Hao Sheng & Zhao-Hui Wu (Senior Member, IEEE)

Authors
  1. Yu Zhang
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  2. Hua-Jun Chen
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  3. Xiao-Hong Jiang
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  4. Hao Sheng
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  5. Zhao-Hui Wu
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Corresponding author

Correspondence to Hua-Jun Chen.

Additional information

This work is supported by the National High-Technology Research and Development 863 Program of China under Grant No. 2006AA01A123, National Science Fund for Distinguished Young Scholars under Grant No. 60525202, Program for Changjiang Scholars and Innovative Research Team in University under Grant No. IRT0652, Defense Advanced Research Foundation of the General Armaments Department of the PLA under Grant Nos. 9140A06060307JW0403 and 9140A06050208JW0414.

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Zhang, Y., Chen, HJ., Jiang, XH. et al. RCCtrust: A Combined Trust Model for Electronic Community. J. Comput. Sci. Technol. 24, 883–892 (2009). https://doi.org/10.1007/s11390-009-9279-3

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  • DOI: https://doi.org/10.1007/s11390-009-9279-3

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