dgliu / RecSys21_DIB
Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
☆19Updated 3 years ago
Alternatives and similar repositories for RecSys21_DIB:
Users that are interested in RecSys21_DIB are comparing it to the libraries listed below
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- ☆41Updated 5 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- ☆46Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆24Updated 4 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated 2 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆106Updated 2 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- ☆11Updated 3 years ago
- ☆23Updated 2 months ago
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆26Updated 2 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Updated last year
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆42Updated 4 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆49Updated 4 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated last year