Building trust in electronic communities by mining web content
by Yu Zhang, Huajun Chen, Chaolun Xia, Xiaohong Jiang
International Journal of Computational Science and Engineering (IJCSE), Vol. 5, No. 1, 2010

Abstract: Most previous trust mechanisms mainly focus on reputation or authentication issues, which do not consider the large amount of system-provided and user-generated content published on web. In this paper, we propose to build trust in online community by mining web content. We first pinpoint several trust characteristics which have been overlooked previously. Then, we introduce trust reasoning functions to infer trust relationships among users. Last, we present several trust strategies and illustrate how to calculate trust values through social network. Although we choose Epinions as our example, the mechanisms proposed in this paper are also applicable to other electronic applications.

Online publication date: Fri, 11-Dec-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com