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

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

9 September 2019
Yuta Saito
Suguru Yaginuma
Yuta Nishino
Hayato Sakata
Kazuhide Nakata
    CML
ArXivPDFHTML

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

26 / 26 papers shown
Title
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
121
5
0
13 Mar 2025
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
43
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
71
3
0
10 Jun 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
50
2
0
23 Apr 2024
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
34
3
0
09 Nov 2023
A General Offline Reinforcement Learning Framework for Interactive
  Recommendation
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao
Donglin Wang
OffRL
34
73
0
01 Oct 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
39
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
38
1
0
18 May 2023
Unbiased Learning to Rank with Biased Continuous Feedback
Unbiased Learning to Rank with Biased Continuous Feedback
Yi Ren
Hongyan Tang
Siwen Zhu
CML
17
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
35
7
0
22 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
27
6
0
16 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
16
6
0
19 Oct 2022
Dynamic Causal Collaborative Filtering
Dynamic Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Zuohui Fu
Jianchao Ji
Shelby Heinecke
Yongfeng Zhang
24
17
0
23 Aug 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
48
31
0
30 May 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
27
36
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
33
27
0
31 Mar 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating
  Recommender Systems
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
37
131
0
22 Feb 2022
Doubly Robust Off-Policy Evaluation for Ranking Policies under the
  Cascade Behavior Model
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
24
42
0
03 Feb 2022
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Youngjune Lee
Oh Joon Kwon
Haejun Lee
Joonyoung Kim
Kangwook Lee
Kee-Eung Kim
19
9
0
07 Dec 2021
Learning Robust Recommender from Noisy Implicit Feedback
Learning Robust Recommender from Noisy Implicit Feedback
Wenjie Wang
Fuli Feng
Xiangnan He
Liqiang Nie
Tat-Seng Chua
NoLa
25
3
0
02 Dec 2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the
  Theoretical Perspectives
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Zida Cheng
Chuanwei Ruan
Siheng Chen
Sushant Kumar
Ya Zhang
27
16
0
23 Oct 2021
Deconfounded Causal Collaborative Filtering
Deconfounded Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Shelby Heinecke
Jia Li
Yongfeng Zhang
CML
35
40
0
14 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
44
22
0
20 Sep 2021
Debiased Explainable Pairwise Ranking from Implicit Feedback
Debiased Explainable Pairwise Ranking from Implicit Feedback
Khalil Damak
Sami Khenissi
O. Nasraoui
24
16
0
30 Jul 2021
AutoDebias: Learning to Debias for Recommendation
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen
Hande Dong
Yang Qiu
Xiangnan He
Xin Xin
Liang Chen
Guli Lin
Keping Yang
CML
27
200
0
10 May 2021
Unbiased Learning for the Causal Effect of Recommendation
Unbiased Learning for the Causal Effect of Recommendation
Masahiro Sato
S. Takemori
Janmajay Singh
Tomoko Ohkuma
CML
OffRL
17
69
0
11 Aug 2020
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