A Provenance-Aware Multi-dimensional Reputation System for Online Rating Systems

Author:

Rezvani Mohsen1,Ignjatovic Aleksandar2,Bertino Elisa3

Affiliation:

1. Shahrood University of Technology, Iran

2. University of New South Wales, Australia

3. Purdue University, USA

Abstract

Online rating systems are widely accepted as means for quality assessment on the web and users increasingly rely on these systems when deciding to purchase an item online. This makes such rating systems frequent targets of attempted manipulation by posting unfair rating scores. Therefore, providing useful, realistic rating scores as well as detecting unfair behavior are both of very high importance. Existing solutions are mostly majority based, also employing temporal analysis and clustering techniques. However, they are still vulnerable to unfair ratings. They also ignore distances between options, the provenance of information, and different dimensions of cast rating scores while computing aggregate rating scores and trustworthiness of users. In this article, we propose a robust iterative algorithm which leverages information in the profile of users and provenance of information, and which takes into account the distance between options to provide both more robust and informative rating scores for items and trustworthiness of users. We also prove convergence of iterative ranking algorithms under very general assumptions, which are satisfied by the algorithm proposed in this article. We have implemented and tested our rating method using both simulated data as well as four real-world datasets from various applications of reputation systems. The experimental results demonstrate that our model provides realistic rating scores even in the presence of a massive amount of unfair ratings and outperforms the well-known ranking algorithms.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Layer-based Composite Reputation Bootstrapping;ACM Transactions on Internet Technology;2022-02-28

2. Application of Machine Learning for Online Reputation Systems;International Journal of Automation and Computing;2021-03-08

3. A Randomized Reputation System in the Presence of Unfair Ratings;ACM Transactions on Management Information Systems;2020-03-31

4. Web Security and Vulnerability: A Literature Review;Journal of Physics: Conference Series;2020-03-01

5. Edge-Cloud-Aided Differentially Private Tucker Decomposition for Cyber-Physical-Social Systems;IEEE Internet of Things Journal;2020

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