Fairness and Transparency in Recommendation: The Users' Perspective

16 March 2021

Papers citing "Fairness and Transparency in Recommendation: The Users' Perspective"

9 / 9 papers shown

Title
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
Negotiating the Shared Agency between Humans & AI in the Recommender System Mengke Wu Weizi Liu Yanyun Wang M. Yao 33 0 0 23 Mar 2024
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 26 11 0 05 Sep 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 25 3 0 05 Aug 2023
Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences Mengdi Chu Keyu Zong Xin Shu Jiangtao Gong Zhicong Lu Kaimin Guo Xinyi Dai Guyue Zhou 44 17 0 09 Mar 2023
Recommender Systems and Algorithmic Hate Jessie J. Smith Lucia Jayne Robin Burke 32 11 0 05 Sep 2022
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design Zhilong Chen J. Piao Xiaochong Lan Hancheng Cao Chen Gao Zhicong Lu Yong Li 25 9 0 08 Aug 2022
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms Andrés Ferraro Xavier Serra Christine Bauer 11 35 0 04 Jun 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017