Psychological factors such as personality, emotions, social connections, and decision
biases can significantly affect the outcome of a decision process. These factors are also …

This chapter shows how a system can recommend to a group of users by aggregating
information from individual user models and modelling the users affective state. It …

Watching television tends to be a social activity. So, adaptive television needs to adapt to
groups of users rather than to individual users. In this paper, we discuss different strategies …

This chapter shows how a system can recommend to a group of users by aggregating
information from individual user models and modeling the user's affective state. It …

Tourism activities are typically group-oriented, and the preferences and goals of group
members may completely differ or even conflict with one another. Considering the limitations …

Online communities are virtual spaces over the Internet in which a group of people with
similar interests or purposes interact with others and share information. To support group …

In recent years recommender systems have become the common tool to handle the
information overload problem of educational and informative web sites, content delivery …

The goal of a group recommendation involves providing appropriate information for all
members in a group. Most extant studies use aggregation methods to determine group …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Abstract Group Recommender Systems are special kinds of Recommender Systems aimed
at suggesting items to groups rather than individuals taking into account, at the same time …