A Framework for Group Context Aware Recommendation Systems

This Ph.D. thesis addresses the problem of Group Recommendation Systems (GRSs) with the aim to define a general framework to integrate in the process of generation of the recommendations for a specific group social aspects related to the interactions between group's members, to the type and the status of the social relationship within the group, and even aspect related to the personality of the group's members. The objective is the realization of techniques that permit to better model the real interactions characterizing the group decision-making process and obtain most suitable recommendations.