In this article, we explore an approach to solve the problem of recommending a package of items (each of them with a score and a cost ) to a user.
In our approach, we consider two types of relations between items: dependency and incompatibility; and we also consider that the size of the package is not fixed but cost-driven. To this end, adaptations of existing package recommendation algorithms are proposed. We have evaluated the proposed approach in a specific domain and obtained promising results.Sociedad Argentina de Informática e Investigación Operativa (SADIO
