论文标题
评估审核内容的有助于解释建议
Assessing the Helpfulness of Review Content for Explaining Recommendations
论文作者
论文摘要
尽管推荐系统算法已经实现了成熟度，但对于如何获得和为用户提供适当的建议理由的知之甚少。提供解释时，推荐系统的透明度和有效性可能会提高。特别是，可以利用从评论中确定有用的论证内容来产生文本解释。在本文中，我们调查了审查可能会被认为有用的原因，并表明对信誉和令人信服的感知介导了帮助与客观性和所解决的相关方面之间的关系。我们的发现使我们提出了一种基于论点的方法，以自动从酒店评论中提取有用的内容，该领域与最适合古典论证理论的领域不同。
Despite the maturity already achieved by recommender systems algorithms, little is known about how to obtain and provide users with a proper rationale for a recommendation. Transparency and effectiveness of recommender systems may be increased when explanations are provided. In particular, identifying of helpful argumentative content from reviews can be leveraged to generate textual explanations. In this paper, we investigate the reasons why a review might be considered helpful, and show that the perception of credibility and convincingness mediates the relationship between helpfulness and the perception of objectivity and relevant aspects addressed. Our findings led us to suggest an argumentbased approach to automatically extracting helpful content from hotel reviews, a domain that differs from those that best fit classical argumentation theories.
