论文标题
从业者与用户：当前工业推荐系统设计的价值敏感评估
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design
论文作者
论文摘要
推荐系统在减轻信息过载和支持用户的各种需求（例如消费，社交和娱乐）方面发挥了越来越重要的作用。但是，有限的研究重点是在推荐系统的工业部署中应如何广泛考虑价值，这可能是有问题的。为了填补这一空白，在本文中，我们采用价值敏感的设计来全面探讨从业者和用户如何识别当前工业推荐系统的不同价值。基于概念和实证研究，我们关注五个价值：建议质量，隐私，透明度，公平和可信度。我们进一步对20位用户和10位从业人员进行了深入的定性访谈，以深入研究他们对这些价值观的看法。我们的结果揭示了从业者和用户之间的紧张局势的存在和来源，从价值解释，评估和实践方面，这为设计更多以人为本和价值敏感的推荐系统提供了新颖的含义。
Recommender systems are playing an increasingly important role in alleviating information overload and supporting users' various needs, e.g., consumption, socialization, and entertainment. However, limited research focuses on how values should be extensively considered in industrial deployments of recommender systems, the ignorance of which can be problematic. To fill this gap, in this paper, we adopt Value Sensitive Design to comprehensively explore how practitioners and users recognize different values of current industrial recommender systems. Based on conceptual and empirical investigations, we focus on five values: recommendation quality, privacy, transparency, fairness, and trustworthiness. We further conduct in-depth qualitative interviews with 20 users and 10 practitioners to delve into their opinions about these values. Our results reveal the existence and sources of tensions between practitioners and users in terms of value interpretation, evaluation, and practice, which provide novel implications for designing more human-centric and value-sensitive recommender systems.
