Generating Natural Language Explanations for Group Recommendations in High Divergence Scenarios

In some scenarios, like music or tourism, people often consume items in groups. However, reaching a consensus is difficult as different members of the group may have highly diverging tastes. To keep the rest of the group satisfied, an individual might need to be confronted occasionally with items they do not like. In this context, presenting an...

Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations

Explanations can be used to supply transparency in recommender systems (RSs). However, when presenting a shared explanation to a group, we need to balance users' need for privacy with their need for transparency. This is particularly challenging when group members have highly diverging tastes and individuals are confronted with items they do not...

You Do Not Decide for Me!: Evaluating Explainable Group Aggregation Strategies for Tourism

Most recommender systems propose items to individual users. However, in domains such as tourism, people often consume items in groups rather than individually. Different individual preferences in such a group can be difficult to resolve, and often compromises need to be made. Social choice strategies can be used to aggregate the preferences of...