Sciweavers

Share
ICDCSW
2007
IEEE

Building Trust in Online Rating Systems Through Signal Modeling

12 years 2 months ago
Building Trust in Online Rating Systems Through Signal Modeling
Abstract— Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such systems has been recognized as an important but difficult problem. This problem is challenging especially when the number of regular ratings is relatively small and the unfair ratings contribute to a significant portion of the overall ratings. In this paper, we propose a novel algorithm to detect the unfair ratings that cannot be effectively prevented by existing state-of-the-art techniques. Our algorithm is particularly effective to detect malicious raters that collaboratively manipulate ratings of one or several products. The main idea of our algorithm is to use an autoregressive signal modeling technique combined with trust-enhanced rating aggregation. We are able to detect and filter out unfair ratings very accurately. Extensive experiments through simulations and real-world data have been performed to validate the proposed algorithm. The experimental results show signi...
Yafei Yang, Yan Lindsay Sun, Jin Ren, Qing Yang
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICDCSW
Authors Yafei Yang, Yan Lindsay Sun, Jin Ren, Qing Yang
Comments (0)
books