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recdebiasing's Introduction

Relevant Papers/Codes on Recommendation Debiasing

Introduction and Analyses of Bias

Papers Taxonomy 1 Taxonomy 2 Taxonomy 3 Methods Date Conference Code
Collaborative filtering and the missing at random assumption Bias in data Bias in explicit feedback data Selection Bias 2007 UAI Python
Probabilistic matrix factorization with non-random missing data Bias in data Bias in explicit feedback data Selection Bias MF-MNAR 2014 PMLR Python
Evaluation of recommendations: rating-prediction and ranking Bias in data Bias in explicit feedback data Selection Bias 2013 RecSys
Why amazon’s ratings might mislead you: The story of herding effects Bias in data Bias in explicit feedback data Conformity Bias 2014 Big data Volume: 2 Issue 4: December 15, 2014
Are you influenced by others when rating?: Improve rating prediction by conformity modeling Bias in data Bias in explicit feedback data Conformity Bias 2016 RecSys
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems Bias in data Bias in explicit feedback data Conformity Bias BIC 2014 RecSys Python
Learning to recommend with social trust ensemble Bias in data Bias in explicit feedback data Conformity Bias RSTE 2009 SIGIR
mtrust: discerning multi-faceted trust in a connected world Bias in data Bias in explicit feedback data Conformity Bias mTrust 2012 WSDM
A probabilistic model for using social networks in personalized item Recommendation Bias in data Bias in explicit feedback data Conformity Bias SPF 2015 RecSys Python
Learning personalized preference of strong and weak ties for social Recommendation Bias in data Bias in explicit feedback data Conformity Bias PTPMF 2017 WWW
A general knowledge distillation framework for counterfactual recommendation via uniform data Bias in data Bias in implicit feedback data Exposure Bias KDCRec 2020 SIGIR Python
Learning to rank with selection bias in personal search Bias in data Bias in implicit feedback data Exposure Bias Global/Segmented/ Generalized Bias Model 2016 SIGIR
Correcting for selection bias in learning-to-rank systems Bias in data Bias in implicit feedback data Exposure Bias Heckman rank/Propensity SVM rank 2020 WWW
Samwalker: Social recommendation with informative sampling strategy Bias in data Bias in implicit feedback data Exposure Bias Samwalker 2019 WWW MATLAB/C++
Fast adaptively weighted matrix factorization for recommendation with implicit feedback Bias in data Bias in implicit feedback data Exposure Bias FAWMF 2020 AAAI
Disentangling user interest and Conformity for recommendation with causal embedding Bias in data Bias in implicit feedback data Exposure Bias DICE 2021 WWW Python
A study of position bias in digital library recommender systems Bias in data Bias in implicit feedback data Position Bias 2018 arXiv
Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search Bias in data Bias in implicit feedback data Position Bias 2007 ACM Journals
Accurately interpreting clickthrough data as implicit feedback Bias in data Bias in implicit feedback data Position Bias 2016 SIGIR
Modeling result-list searching in the world wide web: The role of relevance topologies and trust bias Bias in data Bias in implicit feedback data Position Bias 2006
Logistic matrix factorization for implicit feedback data Bias in Model Inductive Bias LogisticMF 2014 NIPS
Neural collaborative filtering Bias in Model Inductive Bias NCF 2017 WWW Python
Discrete collaborative filtering Bias in Model Inductive Bias DCF 2016 SIGIR
Discrete content-aware matrix factorization Bias in Model Inductive Bias DCMF 2017 KDD
Learning binary codes for collaborative filtering Bias in Model Inductive Bias CFCodeReg/CFCodePair 2012 KDD
Multi-sided exposure bias in recommendation Bias and Unfairness in Results Popularity Bias 2020 Arxiv
A survey on bias and fairness in machine learning Bias and Unfairness in Results Popularity Bias 2019 Arxiv
Bias in computer systems Bias and Unfairness in Results Unfairness 1996 TOIS
Algorithmic bias? an empirical study of apparent gender-based discrimination in the display of stem career ads Bias and Unfairness in Results Unfairness 2019 INFORMS
Automated experiments on ad privacy settings: A tale of opacity, choice, and discrimination Bias and Unfairness in Results Unfairness AdFisher 2015 Arxiv Python
Algorithmic glass ceiling in social networks: The effects of social recommendations on network diversity Bias and Unfairness in Results Unfairness 2018 WWW
Homophily influences ranking of minorities in social networks Bias and Unfairness in Results Unfairness 2018 Scientific Reports
Exploring author gender in book rating and recommendation Bias and Unfairness in Results Unfairness 2020 Arxiv Python
Modeling result-list searching in the world wide web: The role of relevance topologies and trust bias （ Position Bias） Feedback Loop Amplifies Biases 2006 Proceedings of the Annual Meeting of the Cognitive Science Society, 28(28)
Feedback loop and bias amplification in recommender systems Feedback Loop Amplifies Biases 2020 CIKM
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility Feedback Loop Amplifies Biases 2018 RecSys
What recommenders recommend: an analysis of recommendation biases and possible countermeasures Feedback Loop Amplifies Biases 2015 User modeling and user-adapted interaction
Degenerate feedback loops in recommender systems Feedback Loop Amplifies Biases Oracle 2019 AIES
Understanding echo chambers in e-commerce recommender systems Feedback Loop Amplifies Biases 2020 SIGIR Pyhton

Debiasing Strategies

Papers Taxonomy 1 Taxonomy 2 Taxonomy 3 Methods Date Conference Code
Recommendations as treatments: Debiasing learning and evaluation Methods for Selection Bias Debiasing in evaluation MF-IPS 2016 PMLR Pyhton
Training and testing of recommender systems on data missing not at random Methods for Selection Bias Debiasing in evaluation 2010 KDD
Probabilistic matrix factorization with non-random missing data Methods for Selection Bias Debiasing in model training MF-MNAR 2014 JMLR Python
Collaborative filtering and the missing at random assumption Methods for Selection Bias Debiasing in model training 2007 UAI Python
Collaborative prediction and ranking with non-random missing data Methods for Selection Bias Debiasing in model training MM 2009 RecSys
Social recommendation with missing not at random data Methods for Selection Bias Debiasing in model training SPMF-MNAR 2018 ICDM
The deconfounded recommender: A causal inference approach to recommendation Methods for Selection Bias Debiasing in model training Deconfounded Probabilistic / Poisson/Weighted MF 2018 arXiv
Evaluation of recommendations: rating-prediction and ranking Methods for Selection Bias Debiasing in model training 2013 RecSys
Training and testing of recommender systems on data missing not at random Methods for Selection Bias Debiasing in model training 2010 KDD
Recommendations as treatments: Debiasing learning and evaluation Methods for Selection Bias Debiasing in model training MF-IPS 2020 SIGIR Python
Doubly robust joint learning for recommendation on data missing not at random Methods for Selection Bias Debiasing in model training DR 2019 ICML
Asymmetric tri-training for debiasing missing-not-at-random explicit feedback Methods for Selection Bias Debiasing in model training AT 2020 SIGIR
Are you influenced by others when rating?: Improve rating prediction by conformity modeling Methods for Conformity Bias 2016 RecSys
Xgboost: A scalable tree boosting system Methods for Conformity Bias XGBoost 2016 KDD Python
Learning to recommend with social trust ensemble Methods for Conformity Bias RSTE 2009 SIGIR
mtrust: discerning multi-faceted trust in a connected world Methods for Conformity Bias mTrust 2012 WSDM
A probabilistic model for using social networks in personalized item recommendation Methods for Conformity Bias SPF 2015 RecSys Python
Learning personalized preference of strong and weak ties for social recommendation Methods for Conformity Bias PTPMF 2017 WWW
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback Methods for Exposure Bias Debiasing in evaluation 2018 RecSys Python
Collaborative filtering for implicit feedback datasets Methods for Exposure Bias Debiasing in model training 2008 ICDM Python
Dynamic matrix factorization with priors on unknown values Methods for Exposure Bias Debiasing in model training 2015 KDD C++
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering Methods for Exposure Bias Debiasing in model training GALS/sMMMF-ENS 2009 KDD
One-class collaborative filtering Methods for Exposure Bias Debiasing in model training wALS/sALS-ENS 2008 ICDM
Fast matrix factorization for online recommendation with implicit feedback Methods for Exposure Bias Debiasing in model training eALS 2016 SIGIR Python
Selection of negative samples for one-class matrix factorization Methods for Exposure Bias Debiasing in model training Full 2017 SDM Python
Improving one-class collaborative filtering by incorporating rich user information Methods for Exposure Bias Debiasing in model training 2010 CIKM
Unbiased recommender learning from missing-not-at-random implicit feedback Methods for Exposure Bias Debiasing in model training Rel-MF 2020 WSDM Python
Logistic matrix factorization for implicit feedback data Methods for Exposure Bias Debiasing in model training LogisticMF 2014 NIPS
Bpr: Bayesian personalized ranking from implicit feedback Methods for Exposure Bias Debiasing in model training BPR 2009 UAI Python
Collaborative denoising auto-encoders for top-n recommender systems （CDAE） Methods for Exposure Bias Debiasing in model training CDAE 2016 WSDM C++
Neural collaborative filtering （NCF） Methods for Exposure Bias Debiasing in model training NCF 2017 WWW Python
Lightgcn: Simplifying and powering graph convolution network for recommendation （LightGCN） Methods for Exposure Bias Debiasing in model training LightGCN 2020 SIGIR Python
Selection of negative samples for one-class matrix factorization Methods for Exposure Bias Debiasing in model training Full 2017 SDM Python
Reinforced negative sampling for recommendation with exposure data Methods for Exposure Bias Debiasing in model training RNS 2019 IJCAI Python
An improved sampler for bayesian personalized ranking by leveraging view data Methods for Exposure Bias Debiasing in model training BPR+view 2018 WWW
Samwalker: Social recommendation with informative sampling strategy Methods for Exposure Bias Debiasing in model training Samwalker 2019 WWW MATLAB/C++
Reinforced negative sampling over knowledge graph for recommendation Methods for Exposure Bias Debiasing in model training KGPolicy 2020 WWW Python
“Modeling users’ exposure with social knowledge influence and consumption influence for recommendation Methods for Exposure Bias Debiasing in model training SoEXBMF 2018 CIKM
Collaborative filtering with social exposure: A modular approach to social recommendation Methods for Exposure Bias Debiasing in model training SERec 2018 AAAI C++
Modeling user exposure in recommendation Methods for Exposure Bias Debiasing in model training Content ExpoMF/Location ExpoMF 2016 WWW Python
Samwalker: Social recommendation with informative sampling strategy Methods for Exposure Bias Debiasing in model training Samwalker 2019 WWW MATLAB/C++
Fast adaptively weighted matrix factorization for recommendation with implicit feedback Methods for Exposure Bias Debiasing in model training FAWMF 2020 AAAI
Learning to rank with selection bias in personal search Methods for Exposure Bias Debiasing in model training Global/Segmented/ Generalized Bias Model 2016 SIGIR
Correcting for selection bias in learning-to-rank systems Methods for Exposure Bias Debiasing in model training Heckman rank/Propensity SVM rank 2020 WWW Python
Large-scale causal approaches to debiasing post-click conversion rate estimation with multi-task learning Methods for Exposure Bias Debiasing in model training Multi-IPW/Multi-DR 2020 WWW
Entire space multi-task model: An effective approach for estimating post-click conversion rate Methods for Exposure Bias Debiasing in model training ESMM 2018 SIGIR
Entire space multi-task modeling via post-click behavior decomposition for conversion rate prediction Methods for Exposure Bias Debiasing in model training ESM^2^ 2020 SIGIR
Gmcm: Graph-based micro-behavior conversion model for post-click conversion rate estimation Methods for Exposure Bias Debiasing in model training GMCM 2020 SIGIR
” click” is not equal to” like”: Counterfactual recommendation for mitigating clickbait issue Methods for Exposure Bias Debiasing in model training CR 2020 arXiv
An experimental comparison of click position-bias models Methods for Position Bias Click models 2008 WSDM
A user browsing model to predict search engine click data from past observations. Methods for Position Bias Click models 2008 SIGIR
A dynamic bayesian network click model for web search ranking Methods for Position Bias Click models DBN 2009 WWW
Comparing click logs and editorial labels for training query rewriting Methods for Position Bias Click models 2007 WWW
Click chain model in web search Methods for Position Bias Click models CCM 2009 WWW
A novel click model and its applications to online advertising Methods for Position Bias Click models GCM 2010 WSDM
A deep recurrent survival model for unbiased ranking Methods for Position Bias Click models DRSR 2020 SIGIR Python
Unbiased learning-to-rank with biased feedback Methods for Position Bias Propensity score Propensity SVM-Rank 2017 WSDM Link
Learning to rank with selection bias in personal search Methods for Position Bias Propensity score Global/Segmented/ Generalized Bias Model 2016 SIGIR
Multileave gradient descent for fast online learning to rank Methods for Position Bias Propensity score 2016 WSDM
Learning socially optimal information systems from egoistic users Methods for Position Bias Propensity score SoPer-R/SoPer-S 2013 ECML PKDD 2013
Batch learning from logged bandit feedback through counterfactual risk minimization Methods for Position Bias Propensity score POEM 2015 JMLR
Reusing historical interaction data for faster online learning to rank for ir Methods for Position Bias Propensity score RHC/CPS 2013 WSDM Link
Unbiased learning to rank with unbiased propensity estimation Methods for Position Bias Propensity score DLA 2018 SIGIR Python
Position bias estimation for unbiased learning to rank in personal search Methods for Position Bias Propensity score Regression-based EM 2018 WSDM
Attribute-based propensity for unbiased learning in recommender systems: Algorithm and case studies Methods for Position Bias Propensity score 2020 KDD
Debiasing grid-based product search in e-commerce Methods for Position Bias Propensity score 2020 KDD
Cascade model-based propensity estimation for counterfactual learning to rank Methods for Position Bias Propensity score CM-IPS 2020 SIGIR Python
Controlling popularity bias in learning-to-rank recommendation Methods for Popularity Bias Regularization 2017 RecSys
Incorporating diversity in a learning to rank recommender system Methods for Popularity Bias Regularization 2016 FLAIRS
Correcting popularity bias by enhancing recommendation neutrality Methods for Popularity Bias Regularization 2014 RecSys
Efficiency improvement of neutrality-enhanced recommendation Methods for Popularity Bias Regularization 2013 RecSys Link
ESAM: discriminative domain adaptation with non-displayed items to improve long-tail performance Methods for Popularity Bias Regularization ESAM 2020 SIGIR Python
An adversarial approach to improve long-tail performance in neural collaborative filtering Methods for Popularity Bias Adversarial learning 2018 CIKM
Disentangling User Interest and Conformity for Recommendation with Causal Embedding Methods for Popularity Bias Causal graph DICE 2021 WWW Python
The limits of popularity-based recommendations, and the role of social ties Methods for Popularity Bias Others methods 2016 KDD C++
Popularity bias in ranking and recommendation Methods for Popularity Bias Others methods 2019 AIES
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback Methods for Popularity Bias Others methods 2018 RecSys Python
Discrimination-aware data mining Methods for Unfairness Rebalancing 2008 KDD
Fairness-aware ranking in search & recommendation systems with application to linkedin talent search Methods for Unfairness Rebalancing PSL 2019 KDD
Designing fair ranking schemes Methods for Unfairness Rebalancing 2019 SIGMOD
Equity of attention: Amortizing individual fairness in rankings Methods for Unfairness Rebalancing 2018 SIGIR
Fa*ir: A fair top-k ranking algorithm Methods for Unfairness Rebalancing FA*IR 2017 CIKM Java/Python
Fairness of exposure in rankings Methods for Unfairness Rebalancing 2018 KDD
A fairness-aware hybrid recommender system Methods for Unfairness Rebalancing PSL 2018 FATREC
Fairwalk: Towards fair graph embedding Methods for Unfairness Rebalancing Fairwalk 2019 IJCAI
Debayes: a bayesian method for debiasing network embeddings Methods for Unfairness Rebalancing DeBayes 2020 ICML Link
Learning fair representations Methods for Unfairness Regularization 2013 JMLR
Enhancement of the neutrality in recommendation Methods for Unfairness Regularization 2012 RecSys
Efficiency improvement of neutrality-enhanced recommendation. Methods for Unfairness Regularization 2013 RecSys Link
Model-based approaches for independence-enhanced recommendation Methods for Unfairness Regularization 2016 IEEE Link
Considerations on recommendation independence for a find-good-items task Methods for Unfairness Regularization IERS 2017 Workshop on Responsible Recommendation
Beyond parity: Fairness objectives for collaborative filtering Methods for Unfairness Regularization 2017 NIPS
New fairness metrics for recommendation that embrace differences Methods for Unfairness Regularization 2017 FAT/ML
Fairness-aware group recommendation with pareto-efficiency Methods for Unfairness Regularization 2017 RecSys
Balanced neighborhoods for fairness-aware collaborative recommendation Methods for Unfairness Regularization SLIM 2017 FATRec
Fairness in recommendation ranking through pairwise comparisons Methods for Unfairness Regularization 2019 KDD
Controlling popularity bias in learning-to-rank recommendation Methods for Unfairness Regularization 2017 RecSys
Fairness-aware tensor-based recommendation Methods for Unfairness Regularization FATR 2018 CIKM Pyhton
Controlling fairness and bias in dynamic learning-to-rank Methods for Unfairness Regularization FairCo 2020 SIGIR Python
Censoring representations with an adversary Methods for Unfairness Adversarial Learning ALFR 2016 ICLR
“Compositional fairness constraints for graph embeddings Methods for Unfairness Adversarial Learning 2019 ICML Python
Privacy-aware recommendation with private-attribute protection using adversarial learning Methods for Unfairness Adversarial Learning RAP 2019 WSDM
Fairness in decision-making - the causal explanation formula Methods for Unfairness Causal Modeling Ctf-DE/Ctf-IE/Ctf-SE 2018 AAAI
Fair inference on outcomes Methods for Unfairness Causal Modeling 2018 AAAI C++
On discrimination discovery and removal in ranked data using causal graph Methods for Unfairness Causal Modeling FRank/FDetect 2018 KDD
Counterfactual fairness Methods for Unfairness Causal Modeling counterfactual fairness 2017 arXiv Python
Counterfactual fairness: Unidentification bound and algorithm. Methods for Unfairness Causal Modeling 2019 IJCAI
A general knowledge distillation framework for counterfactual recommendation via uniform data Methods for Mitigating Loop Effect Uniform data. KDCRec 2020 SIGIR Python
Degenerate feedback loops in recommender systems Methods for Mitigating Loop Effect Uniform data. Oracle 2019 AIES
Improving ad click prediction by considering non-displayed events Methods for Mitigating Loop Effect Uniform data. 2019 CIKM Link
Predicting counterfactuals from large historical data and small randomized trials Methods for Mitigating Loop Effect Uniform data. 2016 WWW
Causal embeddings for recommendation Methods for Mitigating Loop Effect Uniform data. CausE 2018 RecSys Python
Influence function for unbiased recommendation Methods for Mitigating Loop Effect Uniform data. IF4URec 2020 SIGIR
A contextual-bandit approach to personalized news article recommendation Methods for Mitigating Loop Effect Reinforcement learning. LinUCB 2010 WWW Python
Interactive social recommendation Methods for Mitigating Loop Effect Reinforcement learning. ISR 2017 CIKM
Factorization bandits for interactive recommendation. Methods for Mitigating Loop Effect Reinforcement learning. FactorUCB 2017 AAAI
Interactive collaborative filtering Methods for Mitigating Loop Effect Reinforcement learning. ICF 2013 CIKM Python
Jointly learning to recommend and advertise Methods for Mitigating Loop Effect Reinforcement learning. RAM 2020 KDD
Stabilizing reinforcement learning in dynamic environment with application to online recommendation Methods for Mitigating Loop Effect Reinforcement learning. Robust DQN 2018 KDD
Recommendations with negative feedback via pairwise deep reinforcement learning Methods for Mitigating Loop Effect Reinforcement learning. DEERS 2018 KDD
Drn: A deep reinforcement learning framework for news recommendation Methods for Mitigating Loop Effect Reinforcement learning. DDQN 2018 WWW
Large-scale interactive recommendation with tree-structured policy gradient Methods for Mitigating Loop Effect Reinforcement learning. TPGR 2019 AAAI Python
Deep reinforcement learning for page-wise recommendations Methods for Mitigating Loop Effect Reinforcement learning. DeepPage 2018 RecSys
Deep reinforcement learning for list-wise recommendations Methods for Mitigating Loop Effect Reinforcement learning. LIRD 2019 KDD Python
A reinforcement learning framework for explainable recommendation Methods for Mitigating Loop Effect Reinforcement learning. 2018 ICDM
When people change their mind: Off-policy evaluation in non-stationary recommendation environments Methods for Mitigating Loop Effect Reinforcement learning. 2019 WSDM Python
Top-k off-policy correction for a reinforce recommender system Methods for Mitigating Loop Effect Reinforcement learning. REINFORCE 2019 WSDM Python
Counterfactual evaluation of slate recommendations with sequential reward interactions Methods for Mitigating Loop Effect Reinforcement learning. RIPS 2020 KDD Python
Off-policy evaluation for slate recommendation Methods for Mitigating Loop Effect Reinforcement learning. PI 2017 NIPS Python
Joint policy value learning for recommendation Methods for Mitigating Loop Effect Reinforcement learning. Dual Bandit 2020 KDD Python
Debiasing the human-recommender system feedback loop in collaborative filtering Methods for Mitigating Loop Effect Others propensity MF 2019 WWW
Deconvolving feedbackloops in recommender systems Methods for Mitigating Loop Effect Others Deconvolving feedback 2016 NIPS

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