On group recommendation supported by a minimum cost consensus model

Group recommender systems (GRSs) have recently attracted the attention from researchers and industry. They focused on recommending items which satisfy the global preferences of a group, being TV programs and holidays packages typical examples of these scenarios. Although there have been established several basic approaches for GRSs, it has been also identified the limitation about dealing with conflicts about the recommendation within the groups and hence, the necessity of managing in a deeper way the consensus among the group members to improve the agreed satisfaction of the recommendations. The current contribution is focused on proposing the application of the minimum cost consensus model in the GRS scenario for achieving such objective. A case study will show that this consensus model positively influences the groups’ satisfaction about the recommendations.