New approach to recommend banking products through a hybrid recommender system

Abstract

This research aims to add value in the private banking sector by increasing the sale of financial products to the customer by personalising the recommendation. It proposes a conceptual definition of a new process for private banking when recommending banking products. To this end, a hybrid method of recommending financial products is presented: collaborative filtering combined with content-based filtering. This task involves exploring intelligent algorithms to create the right recommendation for each client. The expected results are the prediction with a high degree of accuracy by integrating a hybrid method that ensures the personalization of products suggested by a bank.