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The Deconfounded Recommender: A Causal Inference Approach to
  Recommendation

The Deconfounded Recommender: A Causal Inference Approach to Recommendation

20 August 2018
Yixin Wang
Dawen Liang
Laurent Charlin
David M. Blei
    CML
ArXivPDFHTML

Papers citing "The Deconfounded Recommender: A Causal Inference Approach to Recommendation"

5 / 5 papers shown
Title
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
Shiyin Tan
Dongyuan Li
Renhe Jiang
Zhen Wang
Xingtong Yu
Manabu Okumura
CML
147
0
0
20 May 2025
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate
  Estimation with Multi-task Learning
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning
Wenhao Zhang
Wentian Bao
Xiao-Yang Liu
Keping Yang
Quan Lin
Hong Wen
Ramin Ramezani
CML
96
106
0
16 Oct 2019
Recommendations as Treatments: Debiasing Learning and Evaluation
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel
Adith Swaminathan
Ashudeep Singh
Navin Chandak
Thorsten Joachims
CML
162
685
0
17 Feb 2016
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
114
969
0
06 Jan 2015
Response Aware Model-Based Collaborative Filtering
Response Aware Model-Based Collaborative Filtering
Guang Ling
Haiqin Yang
Michael R. Lyu
Irwin King
55
20
0
16 Oct 2012
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