User-oriented Fairness in Recommendation

User-oriented Fairness in Recommendation

21 April 2021

Papers citing "User-oriented Fairness in Recommendation"

18 / 18 papers shown

Title
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 70 0 0 26 May 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjoo Tommaso Di Noia 169 23 0 24 Feb 2025
New User Event Prediction Through the Lens of Causal Inference H. Yuchi Shixiang Zhu Li Dong Yigit M. Arisoy Matthew C. Spencer 77 0 0 08 Jul 2024
Ensuring User-side Fairness in Dynamic Recommender Systems Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Fei Wang Charlie Xu Eunice Chan Hanghang Tong 71 16 0 29 Aug 2023
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 98 207 0 03 Jun 2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms Gourab K. Patro Arpita Biswas Niloy Ganguly Krishna P. Gummadi Abhijnan Chakraborty FaML 65 233 0 25 Feb 2020
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach 50 586 0 16 Jul 2019
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 78 114 0 12 Jun 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 104 378 0 02 Mar 2019
Policy Learning for Fairness in Ranking Ashudeep Singh Thorsten Joachims OffRL 61 218 0 11 Feb 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 67 118 0 17 Apr 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,101 0 06 Mar 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao Bert Huang FaML 40 368 0 24 May 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 199 1,208 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 228 4,312 0 07 Oct 2016
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 60 215 0 24 Jun 2016
Graph Clustering Bandits for Recommendation Shuai Li Claudio Gentile Alexandros Karatzoglou 46 12 0 02 May 2016
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 152 5,727 0 09 May 2012