This report summarizes the 1st Workshop on Human-Centered Recommender Systems (HCRS), held on April 29, 2025, in conjunction with TheWebConf 2025. Recommender systems have become quintessential applications of human-computer interaction, offering significant convenience in daily life while simultaneously presenting challenges such as the information cocoon effect, privacy concerns, and fairness issues. Consequently, this workshop was established to provide a platform for researchers to explore the development of recommender systems that prioritize human needs, values, and capabilities at the core of their design and operation. Topics covered included robustness, privacy, transparency, fairness, diversity, accountability, ethical considerations, and user-friendly design. Through these discussions, the workshop sought to foster a collaborative environment for sharing insights on implementing these properties and exploring innovative evaluation metrics, ultimately advancing the field toward more ethical, user-centric, and socially responsible recommender systems. Date: 29 April 2025. Website: https://human-centeredrec.github.io/.
Zhang et al. (Mon,) studied this question.