Debiased Recommendation with Noisy Feedback

Debiased Recommendation with Noisy Feedback

24 June 2024

Haoxuan Li

Wenjie Wang

Hao Wang

Papers citing "Debiased Recommendation with Noisy Feedback"

12 / 12 papers shown

Title
CDR: Conservative Doubly Robust Learning for Debiased Recommendation Zijie Song Jiawei Chen Sheng Zhou Qihao Shi Yan Feng Chun-Yen Chen C. Wang 63 19 0 13 Aug 2023
ESCM $^2$ : Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation Hao Wang Tai-Wei Chang Tianqiao Liu Jia-Bin Huang Zhichao Chen Chao-hui Yu Ruopeng Li Wei Chu 67 91 0 03 Apr 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 60 137 0 22 Feb 2022
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation Yiyu Liu Qian Liu Yu Tian Changping Wang Yanan Niu Yang Song Chenliang Li 81 53 0 28 Sep 2021
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 70 66 0 02 Sep 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 82 126 0 10 Dec 2020
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels Yu-Ting Chou Gang Niu Hsuan-Tien Lin Masashi Sugiyama 72 58 0 05 Jul 2020
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 84 106 0 16 Oct 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 68 378 0 01 Jun 2019
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 148 683 0 17 Feb 2016
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 152 311 0 28 May 2015
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 89 243 0 05 Mar 2013

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