Fake Product Detection and Reputation System for E-commerce

Abstract

E-commerce is a new way to transact business electronically through networks and the Internet. During the last 5 years, the number of internet users rapidly increased which in turn led to fast growth in e-commerce market. The major drawback of e-commerce application is the lack of information about sellers behavior. Buyers are afraid of being cheated by the seller and often feel hesitate to make transaction at e-commerce site. While people are enjoying the benefits from online trading, criminals are also taking advantages to conduct fraudulent activities against shonest parties to obtain illegal profit. Fraud detection is essential to prevent such illegal and fraud activities. In this paper, we propose an implementation algorithm for a new reputation system based on seller-buyer closeness degree for e-commerce. The proposed reputation system can be understood and implemented easily in real e-commerce industry.