Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
ICIS '00 Proceedings of the twenty first international conference on Information systems
Analyzing the economic efficiency of eBay-like online reputation reporting mechanisms
Proceedings of the 3rd ACM conference on Electronic Commerce
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Emergent properties of referral systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
Avoiding ballot stuffing in eBay-like reputation systems
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
Agent-based trust model involving multiple qualities
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trusted P2P Transactions with Fuzzy Reputation Aggregation
IEEE Internet Computing
Agent Technology For E-Commerce
Agent Technology For E-Commerce
Fuzzy trust evaluation and credibility development in multi-agent systems
Applied Soft Computing
Netprobe: a fast and scalable system for fraud detection in online auction networks
Proceedings of the 16th international conference on World Wide Web
Fraud/Privacy Protection in Anonymous Auction
ICIMP '07 Proceedings of the Second International Conference on Internet Monitoring and Protection
The effects of shilling on final bid prices in online auctions
Electronic Commerce Research and Applications
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Online auctions have become immensely popular and created massive cash turnover in recent years. The volume of trade on eBay, the largest auction site in the world, reached US$6 billion in 2008. However, for a user intent on purchasing an item from an auction site, selecting an appropriate seller from the numerous choices is not an easy task. Even though most auction sites provide a concise binary reputation management mechanism to model the reputation of a trader through an integer value rating system, such a simple mechanism does not give users enough information about their potential trading partners. It is difficult to infer the right judgment rule correctly from knowledge of summing positive and negative ratings alone. We focus on developing an effective reputation model for online auctions to help users select a suitable seller. To accomplish this, four feature factors strongly related to online auction characteristics are adopted to assess the reputation of a trader. We also propose a multi-attribute reputation management (MARM) support tool to assist users in choosing sellers when using auction sites. In this research, actual transaction data collected from eBay were used to demonstrate the effectiveness of our method. Our results show that MARM is able to select more suitable sellers than other methods.