Detecting unfair ratings on online rating systems

• Main Author: Zheng, Cihui.
• Other Authors: School of Computer Engineering
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/51994
• Institution: Nanyang Technological University

Since the beginning of time, people have placed upmost importance in ensuring there is trust before carrying out any form of transactions with the other party. With the introduction of the Internet in the 1990s, countless online rating systems have emerged, its sole purpose to provide ratings. Ratings are important for building up trust amongst the different parties. However, with ratings playing a significant role in a user’s decision, it is inevitable that malicious users tamper with the results for their benefit. Dealing with such unfair ratings in online rating systems has long been recognized as an imperative yet challenging problem. In this report, there are two main areas of focus. The first area focuses on the introduction to the electronic marketplace simulation system along with the implementation addition of the GUI and improvements made to the GUI. The second area focuses on the determining the more effective trust model between Personalized and ProbCog by comparison of their effectiveness against six specified attacks based on the evaluation of five different evaluation metrics along with.