文章基本信息

标题：Social Choice-based Explanations: An Approach to Enhancing Fairness and Consensus Aspects
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作者：Thi Ngoc Trang Tran ; Muesluem Atas ; Man Viet Le 等
期刊名称：Journal of Universal Computer Science
印刷版ISSN：0948-6968
出版年度：2020
卷号：26
期号：3
页码：402-431
出版社：Graz University of Technology and Know-Center
摘要：Explanations are integrated into recommender systems to give users an insight into the recommendation generation process. Compared to single-user recommender systems, explanations in group recommender systems have further goals. Examples thereof are fairness, which helps to take into account as much as possible group members' preferences and consensus, which persuades group members to agree on a decision. In this paper, we proposed different types of explanations and found the most effective ones in terms of increasing the fairness perception, consensus perception and satisfaction of group members with regard to group recommendations. We conducted a user study to evaluate the proposed explanations. The results show that explanations which consider the preferences of all or the majority of group members achieve the best results in terms of the mentioned dimensions. Besides, we discovered positive correlations among these aspects. In the context of repeated decisions, group members' satisfaction from previous decisions are helpful to improve the fairness perception of users concerning group recommendations and speed up the group decision-making process. Furthermore, we found out that gender diversity does influence the perception of users regarding the mentioned dimensions of the explanations. Although the proposed explanations were analyzed in group decision scenarios for non-configurable (no-attribute) items, there exist potential possibilities to apply them to explanations for configurable items.
关键词：group composition; group decision making; group recommender systems; preference aggregation strategies; social aspects; social choice theory; social choicebased explanations