A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.pdf
Are You Influenced by Others When Rating? Improve Rating Prediction by Conformity Modeling.pdf
AutoDebias - Learning to Debias for Recommendation.pdf
Bias and Debias in Recommender System - A Survey and Future Directions.pdf
Causal Intervention for Leveraging Popularity Bias in Recommendation.pdf
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.pdf
Counterfactual Video Recommendation for Duration Debiasing.pdf
DVR - Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias.pdf
Debiased Recommendation with User Feature Balancing.pdf
Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering.pdf
Deconvolving Feedback Loops in Recommender Systems.pdf
Deep Position-wise Interaction Network for CTR Prediction.pdf
Degenerate Feedback Loops in Recommender Systems.pdf
Denoising Implicit Feedback for Recommendation.pdf
Disentangling User Interest and Conformity for Recommendation with Causal Embedding.pdf
Improving Ad Click Prediction by Considering Non-displayed Events.pdf
Improving Micro-video Recommendation by Controlling Position Bias.pdf
Influence Function for Unbiased Recommendation.pdf
Learning to rank with selection bias in personal search.pdf
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials.pdf
Rec4Ad - A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao.pdf
Recommendations as Treatments - Debiasing Learning and Evaluation.pdf
Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems.pdf
Training and Testing of Recommender Systems on Data Missing Not at Random.pdf
UKD - Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation.pdf
Unbiased Learning-to-Rank with Biased Feedback.pdf
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.pdf
[2019][Huawei][PAL] a position-bias aware learning framework for CTR prediction in live recommender systems.pdf
[2020][Alibaba][ESAM] ESAM - Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.pdf
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