usaito / unbiased-implicit-rec-real
(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
☆30Updated 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 2 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆23Updated 3 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- (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
- ☆8Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- ☆17Updated 4 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- ☆46Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- ☆9Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆106Updated 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
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- This is the implementation of our paper: Ziwei Zhu, Xia Hu, and James Caverlee. 2018. Fairness-Aware Tensor-Based Recommendation. In The …☆10Updated 6 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago
- ☆22Updated 4 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆12Updated 2 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- ☆16Updated 2 years ago
- Counterfactual Explainable Recommendation☆47Updated 3 years ago