ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1602.05352
  4. Cited By
Recommendations as Treatments: Debiasing Learning and Evaluation

Recommendations as Treatments: Debiasing Learning and Evaluation

17 February 2016
Tobias Schnabel
Adith Swaminathan
Ashudeep Singh
Navin Chandak
Thorsten Joachims
    CML
ArXivPDFHTML

Papers citing "Recommendations as Treatments: Debiasing Learning and Evaluation"

14 / 14 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
95
0
0
20 May 2025
Truncated Matrix Completion - An Empirical Study
Truncated Matrix Completion - An Empirical Study
Rishhabh Naik
Nisarg Trivedi
Davoud Ataee Tarzanagh
Laura Balzano
146
3
0
14 Apr 2025
Exploiting Observation Bias to Improve Matrix Completion
Exploiting Observation Bias to Improve Matrix Completion
Yassir Jedra
Sean Mann
Charlotte Park
Devavrat Shah
212
1
0
03 Jan 2025
Invariant debiasing learning for recommendation via biased imputation
Invariant debiasing learning for recommendation via biased imputation
Ting Bai
Weijie Chen
Cheng Yang
C. Shi
400
2
0
28 Dec 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Chengbing Wang
Wentao Shi
Jizhi Zhang
Wenjie Wang
Hang Pan
Fuli Feng
123
1
0
07 Sep 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
Yi Zhang
Ruihong Qiu
Jiajun Liu
Sen Wang
OffRL
62
0
0
18 Jul 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
81
8
0
18 Apr 2024
Causal Learning for Trustworthy Recommender Systems: A Survey
Causal Learning for Trustworthy Recommender Systems: A Survey
Jin Li
Shoujin Wang
Qi Zhang
LongBing Cao
Fang Chen
Xiuzhen Zhang
Dietmar Jannach
Charu C. Aggarwal
CML
44
1
0
13 Feb 2024
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
David Liu
Jackie Baek
Tina Eliassi-Rad
51
0
0
15 Oct 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
64
0
0
23 Mar 2023
Differentiating Student Feedbacks for Knowledge Tracing
Differentiating Student Feedbacks for Knowledge Tracing
Jiajun Cui
Wei Zhang
Chanjin Zheng
Lu Wang
Mo Yu
Wei Zhang
AI4Ed
80
0
0
16 Dec 2022
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance
  Estimations
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
Anjin Liu
Jie Lu
Guangquan Zhang
124
15
0
09 Aug 2020
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
53
105
0
16 Oct 2019
Unbiased Offline Evaluation of Contextual-bandit-based News Article
  Recommendation Algorithms
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li
Wei Chu
John Langford
Xuanhui Wang
OffRL
150
574
0
31 Mar 2010
1