Ensuring User-side Fairness in Dynamic Recommender Systems

29 August 2023

Papers citing "Ensuring User-side Fairness in Dynamic Recommender Systems"

31 / 31 papers shown

Title
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu Ze Yang Xiao Lin Ruizhong Qiu Tianxin Wei Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong AI4TS 73 0 0 24 May 2025
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng Ruizhong Qiu Wenxuan Bao Tianxin Wei Xiao Lin Yuchen Yan Tarek Abdelzaher Jiawei Han Hanghang Tong OOD AI4CE 66 2 0 19 May 2025
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems Le Pan Yuanjiang Cao Chengkai Huang Wenjie Zhang L. Yao CML 95 0 0 06 May 2025
Enhancing New-item Fairness in Dynamic Recommender Systems Huizhong Guo Zhu Sun Donghai Hong Tianjun Wei Jinfeng Li Jie Zhang 54 0 0 30 Apr 2025
Joint Optimal Transport and Embedding for Network Alignment Qi Yu Zhichen Zeng Yuchen Yan Lei Ying R. Srikant Hanghang Tong OT 457 2 0 26 Feb 2025
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark Ruizhong Qiu Weiliang Will Zeng Hanghang Tong James Ezick Christopher Lott 140 20 0 20 Feb 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Hanghang Tong Jingrui He 74 10 0 31 Dec 2024
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu Hanghang Tong 69 5 0 27 May 2024
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan Rossi Namyong Park Puja Trivedi Yu Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 60 9 0 08 Jul 2023
Joint Multisided Exposure Fairness for Recommendation Haolun Wu Bhaskar Mitra Chen Ma Fernando Diaz Xue Liu FaML 54 65 0 29 Apr 2022
Meta-Learning for Online Update of Recommender Systems Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee KELM 51 19 0 19 Mar 2022
Two-sided fairness in rankings via Lorenz dominance Virginie Do S. Corbett-Davies Jamal Atif Nicolas Usunier FaML 56 50 0 28 Oct 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 52 144 0 20 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 140 236 0 21 Apr 2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers Yao Wu Jian Cao Guandong Xu Yudong Tan FaML 53 86 0 19 Apr 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 71 150 0 16 Feb 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 123 1,225 0 04 Nov 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 94 206 0 03 Jun 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims 54 210 0 29 May 2020
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning Ghazaleh Beigi Ahmadreza Mosallanezhad Ruocheng Guo Hamidreza Alvari A. Nou Huan Liu SILM 62 69 0 22 Nov 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 96 855 0 10 Sep 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 62 118 0 02 Jun 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 53 173 0 21 Mar 2019
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 67 170 0 04 Jun 2018
SQL-Rank: A Listwise Approach to Collaborative Ranking Liwei Wu Cho-Jui Hsieh James Sharpnack 66 39 0 28 Feb 2018
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 92 1,118 0 31 Jul 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao Bert Huang FaML 40 368 0 24 May 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 299 5,364 0 03 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 142 5,722 0 09 May 2012
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 288 799 0 19 Feb 2009