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1909.03601
Cited By
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
9 September 2019
Yuta Saito
Suguru Yaginuma
Yuta Nishino
Hayato Sakata
Kazuhide Nakata
CML
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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
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
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
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
Yuta Saito
Masahiro Nomura
OffRL
50
2
0
23 Apr 2024
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
Teng Xiao
Donglin Wang
OffRL
34
73
0
01 Oct 2023
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
Chao Wang
Hengshu Zhu
Dazhong Shen
Wei Wu
Hui Xiong
38
1
0
18 May 2023
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
Khalil Damak
Sami Khenissi
O. Nasraoui
BDL
35
7
0
22 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
27
6
0
16 Nov 2022
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
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
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
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
Harrie Oosterhuis
CML
33
27
0
31 Mar 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
37
131
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
24
42
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
19
9
0
07 Dec 2021
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
Zida Cheng
Chuanwei Ruan
Siheng Chen
Sushant Kumar
Ya Zhang
27
16
0
23 Oct 2021
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
Yue Deng
44
22
0
20 Sep 2021
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
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
Masahiro Sato
S. Takemori
Janmajay Singh
Tomoko Ohkuma
CML
OffRL
17
69
0
11 Aug 2020
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