Building trust in electronic communities by mining web content

被引：4

作者：

Zhang, Yu ^{[1
]}

Chen, Huajun ^{[1
]}

Xia, Chaolun ^{[1
]}

Jiang, Xiaohong ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Peoples R China

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING | 2010年 / 5卷 / 01期

关键词：

electronic community; trust; trust reasoning; web content;

D O I：

10.1504/IJCSE.2010.030230

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 [计算机应用技术]; 0835 [软件工程];

摘要：

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.

引用

页码：58 / 67

页数：10

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