A Survey on Popularity Bias in Recommender Systems

A Survey on Popularity Bias in Recommender Systems

2 August 2023

Anastasiia Klimashevskaia

Dietmar Jannach

Papers citing "A Survey on Popularity Bias in Recommender Systems"

17 / 17 papers shown

Title
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Yuying Zhao Xiaodong Yang Huiyuan Chen Xiran Fan Yu-Chiang Frank Wang Y. Cai Tyler Derr 27 0 0 03 May 2025
In-context Ranking Preference Optimization Junda Wu Rohan Surana Zhouhang Xie Yiran Shen Yu Xia Tong Yu Ryan Rossi Prithviraj Ammanabrolu Julian McAuley 38 0 0 21 Apr 2025
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Zhouhao Sun Xiao Ding LI DU Yunpeng Xu Yixuan Ma Yang Zhao Bing Qin Ting Liu 32 0 0 17 Apr 2025
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space Klaudia Balcer Piotr Lipinski 30 0 0 14 Apr 2025
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain Dominik Kowald MLAU 66 0 0 07 Apr 2025
Extending MovieLens-32M to Provide New Evaluation Objectives Mark D. Smucker Houmaan Chamani 28 0 0 02 Apr 2025
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers Chenyang Yang Tesi Xiao Michael Shavlovsky Christian Kastner Tongshuang Wu 37 0 0 07 Nov 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang W. Wang Hang Pan Fuli Feng 48 0 0 07 Sep 2024
CSRec: Rethinking Sequential Recommendation from A Causal Perspective Xiaoyu Liu Jiaxin Yuan Yuhang Zhou Jingling Li Furong Huang Wei Ai CML HAI 24 0 0 23 Aug 2024
"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs M. Kamruzzaman Hieu Minh Nguyen Gene Louis Kim 31 4 0 20 Jun 2024
Large Language Models as Recommender Systems: A Study of Popularity Bias Jan Malte Lichtenberg Alexander K. Buchholz Pola Schwöbel 45 6 0 03 Jun 2024
A survey on fairness of large language models in e-commerce: progress, application, and challenge Qingyang Ren Zilin Jiang Jinghan Cao Sijia Li Chiqu Li Yiyang Liu Shuning Huo Tiange He Yuan Chen AILaw FaML 40 6 0 15 May 2024
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable Omar Besbes Yash Kanoria Akshit Kumar 16 0 0 07 May 2024
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 39 1 0 13 Feb 2024
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? Yuwei Fan Yitong Ji Jie Zhang Aixin Sun 16 7 0 19 Jul 2023
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 86 82 0 23 May 2022
The Unfairness of Popularity Bias in Book Recommendation Mohammadmehdi Naghiaei Hossein A. Rahmani M. Dehghan FaML 71 27 0 27 Feb 2022