The 1st Workshop on Human-Centered Recommender Systems

Abstract

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.

Authors 9

1. Kaike Zhang

   University of Chinese Academy of Sciences

   Affiliation as printed

   University of Chinese Academy of Sciences, Beijing, China

2. Yunfan Wu

   University of Chinese Academy of Sciences

   Affiliation as printed

   University of Chinese Academy of Sciences, Beijing, China

3. Yougang Lyu

   University of Amsterdam

   Affiliation as printed

   University of Amsterdam, Amsterdam, Netherlands

4. Du Su

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   CAS Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

5. Yingqiang Ge

   Amazon (United States)

   Affiliation as printed

   Amazon, New Brunswick, USA

6. Shuchang Liu

   Kuaishou (China)

   Affiliation as printed

   Kuaishou, Beijing, China

7. Qi Cao

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   CAS Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

8. Zhaochun Ren Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, Netherlands

9. Fei Sun

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   CAS Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China