A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

This paper presents the state of art techniques in recommender systems (RS). The various
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …

Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

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 …

Loyalty in tourism is one of the main concerns for tourist organizations and researchers
alike. Recently, technology in general and CRM and social networks in particular have been …

The importance of recommendation systems for business applications has led to extensive
research efforts to improve the recommendations accuracy as well as to reduce the sparsity …

The classical occupancy problem is concerned with studying the number of empty bins
resulting from a random allocation of m balls to n bins. We provide a series of tail bounds on …

Recommendation of financial investment strategies is a complex and knowledge-intensive
task. Typically, financial advisors have to discuss at length with their wealthy clients and …

The objective of this paper is to evaluate multi-label classification techniques and
recommender systems for cross-sell purposes in the financial services sector. We carried out …

Decision-making processes in private banking must comply with standards for risk
management and transparency enforced by banking regulations. Therefore, investors must …