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Unbiased Recommender Learning from Missing-Not-At-Random Implicit
  Feedback
v1v2v3 (latest)

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

9 September 2019
Yuta Saito
Suguru Yaginuma
Yuta Nishino
Hayato Sakata
Kazuhide Nakata
    CML
ArXiv (abs)PDFHTML

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
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
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
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
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
Calibrating the Predictions for Top-N Recommendations
Masahiro Sato
69
0
0
21 Aug 2024
Debiased Recommendation with Noisy Feedback
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
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
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
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
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
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
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
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
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
Position bias in features
Richard Demsyn-Jones
23
1
0
04 Feb 2024
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback
  loops
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
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
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
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
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
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
Automatic Feature Fairness in Recommendation via Adversaries
Hengchang Hu
Yiming Cao
Zhankui He
Samson Tan
Min-Yen Kan
AAMLFaML
26
2
0
27 Sep 2023
Doubly Robust Estimator for Off-Policy Evaluation with Large Action
  Spaces
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
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior
Haruka Kiyohara
Masatoshi Uehara
Yusuke Narita
N. Shimizu
Yasuo Yamamoto
Yuta Saito
OffRLCML
90
9
0
26 Jun 2023
A Survey on Fairness-aware Recommender Systems
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders
Teng Xiao
Zhengyu Chen
Suhang Wang
OODCMLOffRL
78
0
0
07 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the
  Inter-Dependence of System and Data Heterogeneity
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
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
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
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
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank
Harrie Oosterhuis
CML
102
28
0
31 Mar 2022
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