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Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset

https://doi.org/10.1145/3582002

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4612-0865-5openalex-snapshot

The Collected Works of Wassily Hoeffding

inferredcites →https://doi.org/10.1090/noti1912openalex-snapshot

The Book of Why: The New Science of Cause and Effect

inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot

One-Class Collaborative Filtering

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tkde.2015.2405556openalex-snapshot

Boosting Response Aware Model-Based Collaborative Filtering

inferredcites →https://doi.org/10.1109/tkde.2022.3199585openalex-snapshot

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data

inferredcites →https://doi.org/10.1145/1639714.1639717openalex-snapshot

Collaborative prediction and ranking with non-random missing data

inferredcites →https://doi.org/10.1145/2507157.2507160openalex-snapshot

Evaluation of recommendations

inferredcites →https://doi.org/10.1145/2556195openalex-snapshot

Proceedings of the 7th ACM international conference on Web search and data mining

inferredcites →https://doi.org/10.1145/2872427.2883090openalex-snapshot

Modeling User Exposure in Recommendation

inferredcites →https://doi.org/10.1145/2959100openalex-snapshot

Proceedings of the 10th ACM Conference on Recommender Systems

inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot

Neural Collaborative Filtering

inferredcites →https://doi.org/10.1145/3109859.3109912openalex-snapshot

Controlling Popularity Bias in Learning-to-Rank Recommendation

inferredcites →https://doi.org/10.1145/3159652.3159732openalex-snapshot

Position Bias Estimation for Unbiased Learning to Rank in Personal Search

inferredcites →https://doi.org/10.1145/3209978.3210014openalex-snapshot

Should I Follow the Crowd?

inferredcites →https://doi.org/10.1145/3240323.3240360openalex-snapshot

Causal embeddings for recommendation

inferredcites →https://doi.org/10.1145/3289600.3291017openalex-snapshot

Estimating Position Bias without Intrusive Interventions

inferredcites →https://doi.org/10.1145/3336191.3371783openalex-snapshot

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

inferredcites →https://doi.org/10.1145/3357384.3358058openalex-snapshot

Improving Ad Click Prediction by Considering Non-displayed Events

inferredcites →https://doi.org/10.1145/3366423openalex-snapshot

Proceedings of The Web Conference 2020

inferredcites →https://doi.org/10.1145/3366423.3380037openalex-snapshot

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning

inferredcites →https://doi.org/10.1145/3366423.3380255openalex-snapshot

Correcting for Selection Bias in Learning-to-rank Systems

inferredcites →https://doi.org/10.1145/3397271.3401083openalex-snapshot

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data

inferredcites →https://doi.org/10.1145/3397271.3401100openalex-snapshot

Controlling Fairness and Bias in Dynamic Learning-to-Rank

inferredcites →https://doi.org/10.1145/3397271.3401114openalex-snapshot

Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback

inferredcites →https://doi.org/10.1145/3397271.3401321openalex-snapshot

Influence Function for Unbiased Recommendation

inferredcites →https://doi.org/10.1145/3404835.3462917openalex-snapshot

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation

inferredcites →https://doi.org/10.1145/3404835.3462919openalex-snapshot

AutoDebias: Learning to Debias for Recommendation

inferredcites →https://doi.org/10.1145/3404835.3462953openalex-snapshot

Policy-Gradient Training of Fair and Unbiased Ranking Functions

inferredcites →https://doi.org/10.1145/3404835.3462962openalex-snapshot

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

inferredcites →https://doi.org/10.1145/3404835.3463118openalex-snapshot

Dual Unbiased Recommender Learning for Implicit Feedback

inferredcites →https://doi.org/10.1145/3437963.3441722openalex-snapshot

Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction

inferredcites →https://doi.org/10.1145/3437963.3441751openalex-snapshot

Unbiased Learning to Rank in Feeds Recommendation

inferredcites →https://doi.org/10.1145/3437963.3441772openalex-snapshot

Bias-Variance Decomposition for Ranking

inferredcites →https://doi.org/10.1145/3437963.3441794openalex-snapshot

Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions

inferredcites →https://doi.org/10.1145/3437963.3441799openalex-snapshot

Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings

inferredcites →https://doi.org/10.1145/3437963.3441820openalex-snapshot

Popularity-Opportunity Bias in Collaborative Filtering

inferredcites →https://doi.org/10.1145/3442381.3449788openalex-snapshot

Disentangling User Interest and Conformity for Recommendation with Causal Embedding

inferredcites →https://doi.org/10.1145/3447548.3467289openalex-snapshot

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

inferredcites →https://doi.org/10.1145/3460231.3474263openalex-snapshot

Mitigating Confounding Bias in Recommendation via Information Bottleneck

inferredcites →https://doi.org/10.1145/3568030openalex-snapshot

Debiased Representation Learning in Recommendation via Information Bottleneck

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1901.10654openalex-snapshot

Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10766-025-00808-0openalex-snapshot

Dynamic Communication Optimization with Collision Avoidance for Parallel Programs in Distributed Systems

inferred← citeshttps://doi.org/10.1109/cogmi67134.2025.00041openalex-snapshot

Where to Explore: A Reach and Cost-Aware Approach for Unbiased Data Collection in Recommender Systems

inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00026openalex-snapshot

Notice of Removal: Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data

inferred← citeshttps://doi.org/10.1145/3616855.3635848openalex-snapshot

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure

inferred← citeshttps://doi.org/10.1145/3641276openalex-snapshot

Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines

inferred← citeshttps://doi.org/10.1145/3649443openalex-snapshot

Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3664647.3680615openalex-snapshot

Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation

inferred← citeshttps://doi.org/10.1145/3664931openalex-snapshot

Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning

inferred← citeshttps://doi.org/10.1145/3709678openalex-snapshot

Deep Overlapping Community Search via Subspace Embedding

inferred← citeshttps://doi.org/10.1145/3726302.3729900openalex-snapshot

Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning

inferred← citeshttps://doi.org/10.1145/3726302.3729917openalex-snapshot

Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach

inferred← citeshttps://doi.org/10.1145/3726302.3730005openalex-snapshot

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure

inferred← citeshttps://doi.org/10.1145/3773078.3831805openalex-snapshot

GTP: Mitigating Popularity Bias in PLM-based Sequential Recommendation via Group-Aware Token Pruning

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