Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

The present work overviews the application of recommender systems in various financial
domains. The relevant literature is investigated based on two directions. First, a domain …

Abstract Virtual Customer Assistants (VCAs) are revolutionizing the way users interact with
machines. VCAs allow a far more natural interaction, and are gaining an increasingly large …

Purpose In today's networked business environment, a huge amount of data is being
generated and processed in different industries, which banking is amongst the most …

In consideration of the general lack of trust in human professional financial advisors due to
conflicts of interest, and given inadequacies in terms of the utility of FinTech alternatives for …

This article identifies the factors that have an impact on mobile recommender systems.
Recommender systems have become a technology that has been widely used by various …

Proactivity has recently gained much attention in the area of cyber physical systems as
sensing the users' real world environment is needed to achieve it. Proactive recommenders …

New technologies are giving very interesting potential to the personalization of products and
services, in particular of mobile services. The study of the literature shows that technology …

Robo-advisors are a class of robots based on the financial needs of investors, through the
algorithm and products to complete the previous financial advisory services provided by …

Traditional E-Commerce applications have evolved in the last years due to the growth of the
mobile environment, creating a new research area known as U-Commerce. The application …