TFROM: A Two-sided Fairness-Aware Recommendation Model for Both
Customers and Providers

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers

19 April 2021

Papers citing "TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers"

14 / 14 papers shown

Title
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjoo Tommaso Di Noia 167 23 0 24 Feb 2025
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
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint Yao Wu Jian Cao Guandong Xu 32 4 0 02 Dec 2020
DeepFair: Deep Learning for Improving Fairness in Recommender Systems Jesús Bobadilla R. Lara-Cabrera Ángel González-Prieto Fernando Ortega FaML 50 45 0 09 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
Opportunistic Multi-aspect Fairness through Personalized Re-ranking Nasim Sonboli Farzad Eskandanian Robin Burke Weiwen Liu B. Mobasher FaML 30 46 0 21 May 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 63 234 0 25 Feb 2020
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 66 259 0 25 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 90 382 0 30 Apr 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
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems Bashir Rastegarpanah Krishna P. Gummadi M. Crovella 44 119 0 02 Dec 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,099 0 06 Mar 2018
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 193 1,205 0 26 Oct 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 152 2,060 0 04 Feb 2016

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