Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Communications of the ACM
Collaborative reputation mechanisms for electronic marketplaces
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
Web-Based Reputation Management Systems: Problems and Suggested Solutions
Electronic Commerce Research
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Avoiding ballot stuffing in eBay-like reputation systems
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
| Hi-index | 0.00 |
In this study, we investigate the review system of Amazon.com and propose a Review-credibility and Time-decay Based Ranking (RTBR) approach, which improves the Amazon review system by exploiting the credibility and time-decay of public reviews. Using a dataset downloaded from Amazon.com, we evaluate the proposed scheme on the current Amazon scheme. The results demonstrate that the RTBR scheme is superior to the Amazon scheme because it is more trustworthy and provides timely review results. Moreover, the scheme is simple and applicable to other Amazon-like review systems in which the reviews are time-stamped and can be evaluated by other users.