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Using reputation system to help determine trustworthiness of online entities is a widely adopted method in the current web environment. Reputation bootstrapping, known as determining a default reputation value for a newcomer, is an important issue which currently is short of a proper solution. In this paper, we introduce a new concept, marginal reputation(More)
Trust and reputation systems are widely adopted to help on-line consumers choose trustworthy suppliers. One problem is that consumers are only attracted by high-reputation holders, which disadvantages the newcomers entering the market, even they provide better goods or services. In this paper, we propose an online supplier selection model in which online(More)
Reputation systems flourish as a kind of mechanism to foster trust in the e-commerce environment. However, people do witness that sellers behave maliciously despite the damage on their reputations. This introduces a question on how we can identify if a reputation system is effectively producing incentives to sellers. By extending our previous work, we use a(More)
Trust and reputation systems are widely adopted in the e-commerce environment to help buyers choose trustworthy sellers. It is a normal thought that the higher the reputation is, the more trustworthy its holder should be. However, our research discloses that under certain circumstances, a high-reputation seller has greater intention to cheat, which means(More)
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