Systems involving artificial intelligence (AI) are protagonists in many everyday activities.
Moreover, designers are increasingly implementing these systems for groups of users in …

A recommender system suggests items to users by predicting what might be interesting for
them. The prediction task has been highlighted in the literature as the most important one …

Nowadays, one important issue for companies is the efficient dealing of the big data
problem, which means that their business intelligence has to manage huge amounts of data …

Decisions are often suboptimal due to the fact that humans apply simple heuristics which
cause different types of decision biases. CHOICLA is an environment that supports decision …

In this chapter, our aim is to show how group recommendation can be implemented on the
basis of recommendation paradigms for individual users. Specifically, we focus on …

The primary goal of Recommender Systems is to suggest the most suitable items to a user,
aligning them with the user's interests and needs. RSs are essential for modern e …

Recommendation to a group of users is a big challenge for collaborative filtering. The
recommendations to groups of users arise from the convenience of being able to …

This survey paper updates the literature with the various technologies associated with group
decision making (GDM) processes including concepts, decision technology support, and …

With the pervasive use of social networks supporting digital communities, the problem of
finding a solution to a given problem shared by a group of users that meets the …

Recommender systems are decision support systems hel** users to identify one or more
items (solutions) that fit their wishes and needs. The most frequent application of …