A Social Recommendation Mechanism for P2P Currency Exchange

Abstract

In recent years, there are growing numbers of people going abroad for studying and traveling which indicates that the demand of currency exchanges is increasing. However, some problems are existed when we exchange currency through the banks. Consequently, the new financial service called P2P currency exchange emerged which aims to disrupt the foreign exchange (FX) markets. In this paper, we propose a recommendation mechanism for P2P currency exchange which is based on social networks and analyze users' preference, similarity and location-based service. Then evaluating social trust by social influence computing. We look forward to providing proper candidates and encouraging sharing economy in finance sector which greatly decrease the cost of currency exchange