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Unbiased Learning for the Causal Effect of Recommendation
v1v2v3 (latest)

Unbiased Learning for the Causal Effect of Recommendation

ACM Conference on Recommender Systems (RecSys), 2020
11 August 2020
Masahiro Sato
S. Takemori
Janmajay Singh
Tomoko Ohkuma
    CMLOffRL
ArXiv (abs)PDFHTML

Papers citing "Unbiased Learning for the Causal Effect of Recommendation"

19 / 19 papers shown
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
Jiajie Zhu
Yan Wang
Feng Zhu
Pengfei Ding
Hongyang Liu
Zhu Sun
OODD
298
0
0
22 May 2025
Generative Diffusion Models for Sequential Recommendations
Generative Diffusion Models for Sequential Recommendations
Sharare Zolghadr
Ole Winther
Paul Jeha
DiffM
310
3
0
25 Oct 2024
Preference Diffusion for Recommendation
Preference Diffusion for RecommendationInternational Conference on Learning Representations (ICLR), 2024
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
488
9
0
17 Oct 2024
A Unified Causal Framework for Auditing Recommender Systems for Ethical
  Concerns
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
Vibhhu Sharma
Shantanu Gupta
Nil-Jana Akpinar
Zachary C. Lipton
Liu Leqi
CMLMLAU
223
0
0
20 Sep 2024
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
Jiajie Zhu
Yan Wang
Feng Zhu
Zhu Sun
CML
586
4
0
17 Apr 2024
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
190
4
0
27 Sep 2023
Diffusion Recommender Model
Diffusion Recommender ModelAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Wenjie Wang
Yiyan Xu
Fuli Feng
Xinyu Lin
Xiangnan He
Tat-Seng Chua
DiffM
372
267
0
11 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
363
6
0
23 Mar 2023
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems
Fengyu Li
Sarah Dean
121
0
0
22 Dec 2022
Mitigating Frequency Bias in Next-Basket Recommendation via
  Deconfounders
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
Xiaohan Li
Zheng Liu
Luyi Ma
Gabriele Tolomei
Stephen D. Guo
Philip Yu
Kannan Achan
CML
202
8
0
16 Nov 2022
Dynamic Causal Collaborative Filtering
Dynamic Causal Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2022
Shuyuan Xu
Juntao Tan
Zuohui Fu
Jianchao Ji
Shelby Heinecke
Zelong Li
322
18
0
23 Aug 2022
The Bandwagon Effect: Not Just Another Bias
The Bandwagon Effect: Not Just Another BiasInternational Conference on the Theory of Information Retrieval (ICTIR), 2022
N. Knyazev
Harrie Oosterhuis
CML
153
13
0
25 Jun 2022
RMT-Net: Reject-aware Multi-Task Network for Modeling
  Missing-not-at-random Data in Financial Credit Scoring
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit ScoringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Qiang Liu
Yingtao Luo
Shu Wu
Zhen Zhang
Xiangnan Yue
Hong Jin
Liang Wang
227
13
0
01 Jun 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 RandomInternational Conference on Learning Representations (ICLR), 2022
Haoxuan Li
Chunyuan Zheng
Peng Wu
438
64
0
10 May 2022
Deep Causal Reasoning for Recommendations
Deep Causal Reasoning for RecommendationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yaochen Zhu
Jing Yi
Jiayi Xie
Zhenzhong Chen
CMLBDL
281
17
0
06 Jan 2022
Online Evaluation Methods for the Causal Effect of Recommendations
Online Evaluation Methods for the Causal Effect of RecommendationsACM Conference on Recommender Systems (RecSys), 2021
Masahiro Sato
CML
179
8
0
14 Jul 2021
Deconfounded Video Moment Retrieval with Causal Intervention
Deconfounded Video Moment Retrieval with Causal InterventionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Xun Yang
Fuli Feng
Wei Ji
Meng Wang
Tat-Seng Chua
CMLVGen
224
224
0
03 Jun 2021
Causal Collaborative Filtering
Causal Collaborative FilteringInternational Conference on the Theory of Information Retrieval (ICTIR), 2021
Shuyuan Xu
Yingqiang Ge
Yunqi Li
Zuohui Fu
Xu Chen
Zelong Li
CML
439
50
0
03 Feb 2021
Causality-Aware Neighborhood Methods for Recommender Systems
Causality-Aware Neighborhood Methods for Recommender SystemsEuropean Conference on Information Retrieval (ECIR), 2020
Masahiro Sato
S. Takemori
Janmajay Singh
Qian Zhang
BDLCML
232
7
0
17 Dec 2020
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