聚焦用户需求，打造更公平可信的推荐系统
The 1st Workshop on Human-Centered Recommender Systems
- 以人类价值为核心设计推荐系统，强调隐私与透明度
- 探讨可解释性、公平性及用户信任等关键特性提升方法
- 适合关注伦理推荐与人机交互的研究者
推荐系统是人机交互的典型应用，虽极大便利日常生活，却也带来信息茧房、隐私泄露、公平性缺失等问题。为此，本次研讨会旨在搭建平台，推动以人为本的推荐系统（HCRS）发展。HCRS强调在设计与运行中将人类需求、价值观与能力置于核心。议题涵盖鲁棒性、隐私保护、透明度、公平性、多样性、问责制及伦理考量，并探索创新评估方法，如捕捉用户满意度与信任感的新指标。研讨会致力于促进跨领域协作，共同推进推荐系统向更道德、以用户为中心、更具社会责任的方向演进。
原文摘要 · Abstract (English)
Recommender systems are quintessential applications of human-computer interaction. Widely utilized in daily life, they offer significant convenience but also present numerous challenges, such as the information cocoon effect, privacy concerns, fairness issues, and more. Consequently, this workshop aims to provide a platform for researchers to explore the development of Human-Centered Recommender Systems~(HCRS). HCRS refers to the creation of recommender systems that prioritize human needs, values, and capabilities at the core of their design and operation. In this workshop, topics will include, but are not limited to, robustness, privacy, transparency, fairness, diversity, accountability, ethical considerations, and user-friendly design. We hope to engage in discussions on how to implement and enhance these properties in recommender systems. Additionally, participants will explore diverse evaluation methods, including innovative metrics that capture user satisfaction and trust. This workshop seeks to foster a collaborative environment for researchers to share insights and advance the field toward more ethical, user-centric, and socially responsible recommender systems.
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