Implementation of seller-buyer closeness degree-based reputation system for e-commerce

Past 5 years, the number of internet users were increased rapidly so that e-commerce market was grew fast too. Nonetheless, e-commerce application has a crucial problem, that is the lack of information about sellers behavior. Buyers often feel hesitate to make transaction at e-commerce site because they are afraid of being cheated by the seller. Our previous paper has proposed a new reputation system based on seller-buyer closeness degree for e-commerce. Now, in this paper, we develop implementation algorithm of our previous reputation system and discuss about its usage. This algorithm is helpful for e-commerce developers that want to easily implement our reputation system in their C2C e-commerce. Consequently, the proposed reputation system can be understood and implemented easily and quickly in real e-commerce industry.