| Summary: | 碩士 === 淡江大學 === 資訊管理學系碩士班 === 97 === The popularity of on-auction is obvious to all, trading goods on the auction sites has become a part of daily life of a modern citizen. Although the restriction on the trading time and location can be greatly alleviated by the network, however, a more risky and uncertain trading nature is involving in such a anonymous environment. To assist the members in choosing a proper trading partner, the auction sites provide a simple binary reputation mechanism to manage the reputation of members. However, it is proven that the binary reputation system is too simple and is hard to reflect the truly reputation.
Focusing on this problem, a novel multi-attribute relative reputation calculation method is proposed in this paper to help the user selecting a proper trading partner. Different from the previous works, a relative but not a absolute reputation value is used to compare the trusted degree of two different members. Besides, to derive a more accurate trust model, the similarity and the transaction amount of commodities’ categories, along with the time-decay and opinion weight of the binary reputation value are combined to synthesize a overall reputation value. To demonstrate the effectiveness of our system (named BREP), the real transaction data in Taiwan’s ruten on-line auction site are collected to perform experiments. The results show that BREP can provide a more accurate suggestion than the binary reputation value in 10%-24% cases of tests. In particular, for two members with high binary reputation value, BREP often can differentiate them to help reputation requestor making choice.
|
|---|
