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2409.04810
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Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
7 September 2024
Chengbing Wang
Wentao Shi
Jizhi Zhang
Wenjie Wang
Hang Pan
Fuli Feng
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Papers citing
"Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation"
18 / 18 papers shown
A Survey on Popularity Bias in Recommender Systems
Anastasiia Klimashevskaia
Dietmar Jannach
Mehdi Elahi
C. Trattner
660
95
0
02 Aug 2023
On the Theories Behind Hard Negative Sampling for Recommendation
The Web Conference (WWW), 2023
Wentao Shi
Jiawei Chen
Fuli Feng
Jizhi Zhang
Junkang Wu
Chongming Gao
Xiangnan He
BDL
292
55
0
07 Feb 2023
Towards Reliable Item Sampling for Recommendation Evaluation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Dong Li
Ruoming Jin
Zhenming Liu
Bin Ren
Jing Gao
Zhi Liu
169
10
0
28 Nov 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction
Knowledge Discovery and Data Mining (KDD), 2022
Quanyu Dai
Haoxuan Li
Peng Wu
Zhenhua Dong
Xiao-Hua Zhou
Rui Zhang
Rui zhang
Jie Sun
188
62
0
12 Nov 2022
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
International Conference on Learning Representations (ICLR), 2022
Haoxuan Li
Chunyuan Zheng
Peng Wu
334
56
0
10 May 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
International Conference on Information and Knowledge Management (CIKM), 2022
Chongming Gao
Shijun Li
Wenqiang Lei
Jiawei Chen
Biao Li
Peng Jiang
Xiangnan He
Jiaxin Mao
Tat-Seng Chua
327
190
0
22 Feb 2022
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
ACM Conference on Recommender Systems (RecSys), 2021
Alexander Dallmann
Daniel Zoller
Andreas Hotho
158
69
0
27 Jul 2021
AutoDebias: Learning to Debias for Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Jiawei Chen
Hande Dong
Yang Qiu
Xiangnan He
Xin Xin
Liang Chen
Guli Lin
Keping Yang
CML
615
237
0
10 May 2021
User-centered Evaluation of Popularity Bias in Recommender Systems
User Modeling, Adaptation, and Personalization (UMAP), 2021
Himan Abdollahpouri
M. Mansoury
Robin Burke
B. Mobasher
E. Malthouse
290
145
0
10 Mar 2021
On Estimating Recommendation Evaluation Metrics under Sampling
AAAI Conference on Artificial Intelligence (AAAI), 2021
R. Jin
Dong Li
Benjamin Mudrak
Jing Gao
Zhi Liu
116
15
0
02 Mar 2021
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Neural Information Processing Systems (NeurIPS), 2020
Zifeng Wang
Xi Chen
Rui Wen
Shao-Lun Huang
E. Kuruoglu
Yefeng Zheng
BDL
CML
OffRL
228
90
0
06 Sep 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
690
4,618
0
06 Feb 2020
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
European Conference on Information Retrieval (ECIR), 2019
Dominik Kowald
Markus Schedl
Elisabeth Lex
230
156
0
10 Dec 2019
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials
Nir Rosenfeld
Yishay Mansour
E. Yom-Tov
CML
194
26
0
24 Oct 2016
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel
Adith Swaminathan
Ashudeep Singh
Navin Chandak
Thorsten Joachims
CML
387
772
0
17 Feb 2016
Learning From Missing Data Using Selection Bias in Movie Recommendation
Claire Vernade
Olivier Cappé
CML
151
5
0
30 Sep 2015
Collaborative Filtering and the Missing at Random Assumption
Conference on Uncertainty in Artificial Intelligence (UAI), 2007
Benjamin M. Marlin
R. Zemel
S. Roweis
Malcolm Slaney
233
327
0
20 Jun 2012
BPR: Bayesian Personalized Ranking from Implicit Feedback
Conference on Uncertainty in Artificial Intelligence (UAI), 2009
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
439
6,341
0
09 May 2012
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