guosyjlu / MRDR-DL
TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
☆25Updated last year
Alternatives and similar repositories for MRDR-DL:
Users that are interested in MRDR-DL are comparing it to the libraries listed below
- User-oriented Fairness in Recommendation☆27Updated 3 years ago
- ☆21Updated last year
- ☆8Updated 3 years ago
- Counterfactual Explainable Recommendation☆47Updated 3 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆70Updated 3 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated 2 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆16Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- This is the official implementation of the paper "Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Lea…☆16Updated 3 months ago
- ☆41Updated 5 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated last year
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆24Updated 4 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 2 months ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 2 months ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆24Updated 2 years ago
- ☆46Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆105Updated 2 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆102Updated last year