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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"

22 / 72 papers shown

Title
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li Yan Lyu Chunyuan Zheng Peng Wu 109 45 0 19 Mar 2022
A Real-World Implementation of Unbiased Lift-based Bidding System Daisuke Moriwaki Yuta Hayakawa Akira Matsui Yuta Saito Isshu Munemasa Masashi Shibata 33 2 0 23 Feb 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems Chongming Gao Shijun Li Wenqiang Lei Jiawei Chen Biao Li Peng Jiang Xiangnan He Jiaxin Mao Tat-Seng Chua 100 145 0 22 Feb 2022
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model Haruka Kiyohara Yuta Saito Tatsuya Matsuhiro Yusuke Narita N. Shimizu Yasuo Yamamoto OffRL 90 43 0 03 Feb 2022
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI Youngjune Lee Oh Joon Kwon Haejun Lee Joonyoung Kim Kangwook Lee Kee-Eung Kim 39 9 0 07 Dec 2021
Learning Robust Recommender from Noisy Implicit Feedback Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie Tat-Seng Chua NoLa 65 3 0 02 Dec 2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives Zida Cheng Chuanwei Ruan Siheng Chen Sushant Kumar Ya Zhang 84 16 0 23 Oct 2021
Deconfounded Causal Collaborative Filtering Shuyuan Xu Juntao Tan Shelby Heinecke Jia Li Yongfeng Zhang CML 127 40 0 14 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 121 25 0 20 Sep 2021
Debiased Explainable Pairwise Ranking from Implicit Feedback Khalil Damak Sami Khenissi O. Nasraoui 71 17 0 30 Jul 2021
Online Evaluation Methods for the Causal Effect of Recommendations Masahiro Sato CML 23 7 0 14 Jul 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation Siyuan Guo Lixin Zou Yiding Liu Wenwen Ye Suqi Cheng Shuaiqiang Wang Hechang Chen D. Yin Yi-Ju Chang 70 93 0 28 May 2021
Be Causal: De-biasing Social Network Confounding in Recommendation Qian Li Xiang-jian Wang Guandong Xu CML 105 56 0 17 May 2021
AutoDebias: Learning to Debias for Recommendation Jiawei Chen Hande Dong Yang Qiu Xiangnan He Xin Xin Liang Chen Guli Lin Keping Yang CML 138 207 0 10 May 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 116 48 0 03 Feb 2021
Causality-Aware Neighborhood Methods for Recommender Systems Masahiro Sato S. Takemori Janmajay Singh Qian Zhang BDL CML 26 7 0 17 Dec 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 56 33 0 08 Nov 2020
Do Offline Metrics Predict Online Performance in Recommender Systems? K. Krauth Sarah Dean Alex Zhao Wenshuo Guo Mihaela Curmei Benjamin Recht Michael I. Jordan OffRL 81 41 0 07 Nov 2020
Unbiased Learning for the Causal Effect of Recommendation Masahiro Sato S. Takemori Janmajay Singh Tomoko Ohkuma CML OffRL 111 70 0 11 Aug 2020
Unbiased Lift-based Bidding System Daisuke Moriwaki Yuta Hayakawa Isshu Munemasa Yuta Saito Akira Matsui 44 4 0 08 Jul 2020
Towards Resolving Propensity Contradiction in Offline Recommender Learning Yuta Saito Masahiro Nomura OffRL 96 13 0 16 Oct 2019
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback SrinivasaRao SubramanyaRao 119 114 0 08 Sep 2019