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Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

9 September 2019

Papers citing "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

50 / 72 papers shown

Title
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation Zahra Akhlaghi Mostafa Haghir Chehreghani AI4TS 78 1 0 18 Apr 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 197 9 0 13 Mar 2025
Personalized Denoising Implicit Feedback for Robust Recommender System Kaike Zhang Qi Cao Yunfan Wu Fei Sun Huawei Shen Xueqi Cheng NoLa 120 1 0 01 Feb 2025
Reducing Popularity Influence by Addressing Position Bias Andrii Dzhoha Alexey Kurennoy Vladimir Vlasov Marjan Celikik 79 0 0 11 Dec 2024
Calibrating the Predictions for Top-N Recommendations Masahiro Sato 69 0 0 21 Aug 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 118 7 0 24 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 127 4 0 10 Jun 2024
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation Yuxi Liu Lianghao Xia Chao Huang 89 20 0 31 May 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li Chunyuan Zheng Sihao Ding Peng Wu Zhi Geng Fuli Feng Xiangnan He CML 79 10 0 30 Apr 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li Chunyuan Zheng Yanghao Xiao Peng Wu Zhi Geng Xu Chen Peng Cui CML 99 21 0 30 Apr 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It Yuta Saito Masahiro Nomura OffRL 97 3 0 23 Apr 2024
Countering Mainstream Bias via End-to-End Adaptive Local Learning Jinhao Pan Ziwei Zhu Jianling Wang Allen Lin James Caverlee 96 2 0 13 Apr 2024
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset Philipp Hager Romain Deffayet J. Renders O. Zoeter Maarten de Rijke 65 4 0 03 Apr 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 82 17 0 26 Feb 2024
Position bias in features Richard Demsyn-Jones 23 1 0 04 Feb 2024
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang Hui Xiong 55 1 0 10 Nov 2023
Generalized test utilities for long-tail performance in extreme multi-label classification Erik Schultheis Marek Wydmuch Wojciech Kotlowski Rohit Babbar Krzysztof Dembczyñski ELM 104 4 0 09 Nov 2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution Noveen Sachdeva Lequn Wang Dawen Liang Nathan Kallus Julian McAuley OffRL 76 14 0 24 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift An Zhang Wenchang Ma Jingnan Zheng Xiang Wang Tat-Seng Chua 82 23 0 16 Oct 2023
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data S.M.F. Sani Seyed Abbas Hosseini Hamid R. Rabiee OffRL 75 1 0 07 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 112 74 0 01 Oct 2023
Automatic Feature Fairness in Recommendation via Adversaries Hengchang Hu Yiming Cao Zhankui He Samson Tan Min-Yen Kan AAML FaML 26 2 0 27 Sep 2023
Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces Tatsuhiro Shimizu L. Forastiere OffRL 56 1 0 07 Aug 2023
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior Haruka Kiyohara Masatoshi Uehara Yusuke Narita N. Shimizu Yasuo Yamamoto Yuta Saito OffRL CML 90 9 0 26 Jun 2023
A Survey on Fairness-aware Recommender Systems Di Jin Luzhi Wang He Zhang Yizhen Zheng Weiping Ding Feng Xia Shirui Pan FaML 83 43 0 01 Jun 2023
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering Jae-woong Lee Seongmin Park Mincheol Yoon Jongwuk Lee 84 7 0 22 May 2023
Preference or Intent? Double Disentangled Collaborative Filtering Chao Wang Hengshu Zhu Dazhong Shen Wei Wu Hui Xiong 80 1 0 18 May 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 97 51 0 17 Apr 2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data Masahiro Kato Shuting Wu Kodai Kureishi Shota Yasui 27 1 0 08 Mar 2023
Unbiased Learning to Rank with Biased Continuous Feedback Yi Ren Hongyan Tang Siwen Zhu CML 27 7 0 08 Mar 2023
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers Khalil Damak Sami Khenissi O. Nasraoui BDL 79 8 0 22 Jan 2023
Disentangled Representation for Diversified Recommendations Xiaoying Zhang Hongning Wang Hang Li CML 58 12 0 13 Jan 2023
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders Xiaohan Li Zheng Liu Luyi Ma Kaushiki Nag Stephen D. Guo Philip Yu Kannan Achan CML 76 6 0 16 Nov 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui zhang Jie Sun 88 55 0 12 Nov 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 77 6 0 19 Oct 2022
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation Chenxu Wang Fuli Feng Yang Zhang Qifan Wang Xu Hu Xiangnan He 96 8 0 22 Sep 2022
Causal Intervention for Fairness in Multi-behavior Recommendation Xi Wang Wenjie Wang Fuli Feng Wenge Rong Chuantao Yin Zhang Xiong CML 60 2 0 10 Sep 2022
Dynamic Causal Collaborative Filtering Shuyuan Xu Juntao Tan Zuohui Fu Jianchao Ji Shelby Heinecke Yongfeng Zhang 100 17 0 23 Aug 2022
Debiased Recommendation with Neural Stratification Quanyu Dai Zhenhua Dong Xu Chen 83 4 0 15 Aug 2022
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification Erik Schultheis Marek Wydmuch Rohit Babbar Krzysztof Dembczyñski 58 28 0 26 Jul 2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback Jae-woong Lee Seongmin Park Joonseok Lee Jongwuk Lee CML 76 12 0 26 Jul 2022
SPR:Supervised Personalized Ranking Based on Prior Knowledge for Recommendation Chun Yang Shicai Fan OffRL 65 0 0 07 Jul 2022
Breaking Feedback Loops in Recommender Systems with Causal Inference K. Krauth Yixin Wang Michael I. Jordan CML 92 19 0 04 Jul 2022
The Bandwagon Effect: Not Just Another Bias N. Knyazev Harrie Oosterhuis CML 40 7 0 25 Jun 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 78 0 0 07 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 110 32 0 30 May 2022
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li Chunyuan Zheng Peng Wu 102 50 0 10 May 2022
Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI Pragaash Ponnusamy Clint Solomon Mathialagan Gustavo Aguilar Chengyuan Ma Chenlei Guo 55 6 0 29 Apr 2022
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 85 38 0 26 Apr 2022
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank Harrie Oosterhuis CML 102 28 0 31 Mar 2022