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SIGECOM
2008
ACM

Predicting trusts among users of online communities: an epinions case study

11 years 1 months ago
Predicting trusts among users of online communities: an epinions case study
Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users may rely on trust information to make decisions. In this paper, we address the problem of predicting whether a user trusts another user. Most prior work infers unknown trust ratings from known trust ratings. The effectiveness of this approach depends on the connectivity of the known web of trust and can be quite poor when the connectivity is very sparse which is often the case in an online community. In this paper, we therefore propose a classification approach to address the trust prediction problem. We develop a taxonomy to obtain an extensive set of relevant features derived from user attributes and user interactions in an online community. As a test case, we apply the approach to data collected from Epinions, a large product review community that supports various types of interactions as well as a web of ...
Haifeng Liu, Ee-Peng Lim, Hady Wirawan Lauw, Minh-
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where SIGECOM
Authors Haifeng Liu, Ee-Peng Lim, Hady Wirawan Lauw, Minh-Tam Le, Aixin Sun, Jaideep Srivastava, Young Ae Kim
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