OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 316-324
Closed Access | Times Cited: 43
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 316-324
Closed Access | Times Cited: 43
Showing 1-25 of 43 citing articles:
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang, Keqin Bao, Yang Zhang, et al.
(2023), pp. 993-999
Open Access | Times Cited: 51
Jizhi Zhang, Keqin Bao, Yang Zhang, et al.
(2023), pp. 993-999
Open Access | Times Cited: 51
A unifying and general account of fairness measurement in recommender systems
Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103115-103115
Open Access | Times Cited: 56
Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103115-103115
Open Access | Times Cited: 56
A survey on fairness-aware recommender systems
Di Jin, Luzhi Wang, He Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101906-101906
Open Access | Times Cited: 28
Di Jin, Luzhi Wang, He Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101906-101906
Open Access | Times Cited: 28
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
Chongming Gao, Kexin Huang, Jiawei Chen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 238-248
Open Access | Times Cited: 25
Chongming Gao, Kexin Huang, Jiawei Chen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 238-248
Open Access | Times Cited: 25
Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning
Feng Pan, Hanfei Zhang, Xuebao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2034-e2034
Open Access | Times Cited: 8
Feng Pan, Hanfei Zhang, Xuebao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2034-e2034
Open Access | Times Cited: 8
Item-side Fairness of Large Language Model-based Recommendation System
Meng Jiang, Keqin Bao, Jizhi Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4717-4726
Open Access | Times Cited: 7
Meng Jiang, Keqin Bao, Jizhi Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4717-4726
Open Access | Times Cited: 7
A Survey on Reinforcement Learning for Recommender Systems
Yuanguo Lin, Yong Liu, Fan Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13164-13184
Open Access | Times Cited: 17
Yuanguo Lin, Yong Liu, Fan Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13164-13184
Open Access | Times Cited: 17
Impression-Aware Recommender Systems
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
Causal Inference for Recommendation: Foundations, Methods and Applications
Shuyuan Xu, Jianchao Ji, Yunqi Li, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Open Access
Shuyuan Xu, Jianchao Ji, Yunqi Li, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Open Access
TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation
Chenyun Yu, Junfeng Zhao, Xuan Wu, et al.
Neurocomputing (2025), pp. 129539-129539
Closed Access
Chenyun Yu, Junfeng Zhao, Xuan Wu, et al.
Neurocomputing (2025), pp. 129539-129539
Closed Access
Towards efficient pareto-optimal utility-fairness between groups in repeated rankings
P. M. Dinh, Duc-Trong Le, Tuan-Anh Hoang, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Closed Access
P. M. Dinh, Duc-Trong Le, Tuan-Anh Hoang, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Closed Access
A Comprehensive Analysis of Machine Learning and Deep Learning Based Product Recommendation System
G. Kalyan Chakravarthi, Raghvendra Kumar, Ssvr Kumar Addagarla
(2025), pp. 306-327
Closed Access
G. Kalyan Chakravarthi, Raghvendra Kumar, Ssvr Kumar Addagarla
(2025), pp. 306-327
Closed Access
Socially beneficial metaverse: Framework, technologies, applications, and challenges
Xiaolong Xu, Xuanhong Zhou, Muhammad Bilal, et al.
Computer Networks (2025), pp. 111198-111198
Closed Access
Xiaolong Xu, Xuanhong Zhou, Muhammad Bilal, et al.
Computer Networks (2025), pp. 111198-111198
Closed Access
Fairness-aware Federated Matrix Factorization
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, et al.
(2022)
Closed Access | Times Cited: 23
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, et al.
(2022)
Closed Access | Times Cited: 23
Exploration and Regularization of the Latent Action Space in Recommendation
Shuchang Liu, Qingpeng Cai, Bowen Sun, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 14
Shuchang Liu, Qingpeng Cai, Bowen Sun, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 14
A reinforcement learning recommender system using bi-clustering and Markov Decision Process
Arta Iftikhar, Mustansar Ali Ghazanfar, Mubbashir Ayub, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121541-121541
Open Access | Times Cited: 13
Arta Iftikhar, Mustansar Ali Ghazanfar, Mubbashir Ayub, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121541-121541
Open Access | Times Cited: 13
Counterfactual Explanation for Fairness in Recommendation
Xiangmeng Wang, Qian Li, Dianer Yu, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 4, pp. 1-30
Open Access | Times Cited: 4
Xiangmeng Wang, Qian Li, Dianer Yu, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 4, pp. 1-30
Open Access | Times Cited: 4
Bias in Reinforcement Learning: A Review in Healthcare Applications
Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-17
Closed Access | Times Cited: 11
Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-17
Closed Access | Times Cited: 11
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang, Keqin Bao, Yang Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 10
Jizhi Zhang, Keqin Bao, Yang Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 10
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation
Xiangmeng Wang, Qian Li, Dianer Yu, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 4, pp. 1-27
Open Access | Times Cited: 3
Xiangmeng Wang, Qian Li, Dianer Yu, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 4, pp. 1-27
Open Access | Times Cited: 3
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
Zhang Yin, Ruoxi Wang, Derek Zhiyuan Cheng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5608-5617
Open Access | Times Cited: 8
Zhang Yin, Ruoxi Wang, Derek Zhiyuan Cheng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5608-5617
Open Access | Times Cited: 8
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4937-4947
Open Access | Times Cited: 6
Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4937-4947
Open Access | Times Cited: 6
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, et al.
(2023), pp. 2013-2023
Open Access | Times Cited: 5
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, et al.
(2023), pp. 2013-2023
Open Access | Times Cited: 5
Future Impact Decomposition in Request-level Recommendations
X. Wang, Shuchang Liu, Xueliang Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5905-5916
Open Access | Times Cited: 1
X. Wang, Shuchang Liu, Xueliang Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5905-5916
Open Access | Times Cited: 1
Intersectional Two-sided Fairness in Recommendation
Yifan Wang, Peijie Sun, Weizhi Ma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3609-3620
Closed Access | Times Cited: 1
Yifan Wang, Peijie Sun, Weizhi Ma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3609-3620
Closed Access | Times Cited: 1
