In this paper, we propose a market model which is based on reputation and reinforcement learning algorithms for buying and selling agents. Three important factors: quality, price and delivery-time are considered in the model. We take into account the fact that buying agents can have different priorities on quality, price and delivery-time of their goods and selling agents adjust their bids acco...

Abstract Traditionally most cross-selling models in retail banking use demographics information and interactions with marketing as input to statistical or machine learning algorithms predict whether a customer is willing purchase given financial product not. We overcome such limitation by building several that also years of account transaction data. The objective this study analysis credit card...