A payment recommender model to increase mutual trust between sellers and buyers in e-marketplaces

Nowadays, with the great development of electronic commerce, there exist lots of online marketplaces, each of which presents a different payment method to their customers. However, the remarkable point is that although there are few websites which offer their customers after-delivery payment methods, there does not exist a website which presents dynamic payment methods to their customers according to their trust level. Therefore, a piece of research needs to be done on different payment methods and their relation with the trust level of the buyer and the seller. In this paper, not only is this relation covered, but also a computational model is examined that can calculate the trust level between the buyer and the seller by means of seller, buyer, and transaction parameters. Moreover, the model offers the best payment parameters that maximizes the trust level of the buyer and the seller. This way, the transaction becomes more probable to happen.