usaito / unbiased-implicit-rec-real
(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
☆29Updated 2 years ago
Alternatives and similar repositories for unbiased-implicit-rec-real:
Users that are interested in unbiased-implicit-rec-real are comparing it to the libraries listed below
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆24Updated last year
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- ☆8Updated 2 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆39Updated last year
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆18Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆22Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- ☆16Updated 2 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated last year
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆20Updated 4 years ago
- ☆45Updated 2 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- 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 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 3 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆70Updated 2 years ago
- ☆21Updated last year
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆41Updated 4 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 3 weeks ago
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated last year
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 3 weeks ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 3 years ago