User reviews have become an important source for recommending and explaining products or services. Particularly, providing explanations based on user reviews may improve users' perception of a recommender system (RS). However, little is known about how review-based explanations can be effectively and efficiently presented to users of RS. We investigate the potential of interactive explanations in review-based RS in the domain of hotels, and propose an explanation scheme inspired by dialog models and formal argument structures. Additionally, we also address the combined effect of interactivity and different presentation styles (i.e. using only text, a bar chart or a table), as well as the influence that different user characteristics might have on users' perception of the system and its explanations. To such effect, we implemented a review-based RS using a matrix factorization explanatory method, and conducted a user study. Our results show that providing more interactive explanations in review-based RS has a significant positive influence on the perception of explanation quality, effectiveness and trust in the system by users, and that user characteristics such as rational decision-making style and social awareness also have a significant influence on this perception.
翻译:用户审查已成为建议和解释产品或服务的一个重要来源,特别是,根据用户审查提供解释,可以改善用户对推荐者系统的看法。然而,对于基于审查的解释如何能有效和高效地向RS用户提供,我们所知甚少。我们调查在酒店领域基于审查的RS中互动解释的可能性,并提议由对话模式和正式论证结构启发的解释方案。此外,我们还处理互动和不同表述风格(即仅使用文本、条形图或表格)的综合影响,以及不同用户特征对用户对系统的看法及其解释的影响。为此,我们采用矩阵化系数解释方法实施了基于审查的RS,并进行了用户研究。我们的结果显示,在基于审查的RS中提供更具互动性的解释,对用户对解释质量、有效性和对系统信任的看法有着重大的积极影响,用户特征,例如合理的决策风格和社会意识,也对这一认识有重大影响。