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1909.03601
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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"
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
34
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
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