no code implementations • 16 Jun 2021 • Ruoyuan Gao, Yingqiang Ge, Chirag Shah
We believe our work opens up a new direction of pursuing a metric for evaluating and implementing the FAIR systems.
1 code implementation • 10 Jan 2021 • Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
We focus on the fairness of exposure of items in different groups, while the division of the groups is based on item popularity, which dynamically changes over time in the recommendation process.
no code implementations • 3 Nov 2020 • Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
The results showed that our runs performed below par for re-ranking task, but above average for retrieval.
no code implementations • 16 Jul 2020 • Sahil Verma, Ruoyuan Gao, Chirag Shah
Several recent works have highlighted how search and recommender systems exhibit bias along different dimensions.
no code implementations • 3 Jun 2020 • Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
There has been growing attention on fairness considerations recently, especially in the context of intelligent decision making systems.