usaito / unbiased-implicit-rec
(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
☆24Updated last year
Related projects: ⓘ
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated last year
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆22Updated last year
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆22Updated last year
- ☆9Updated 2 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆38Updated last year
- ☆21Updated 10 months ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆22Updated 2 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 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
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆12Updated last year
- ☆43Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆20Updated 3 years ago
- User-oriented Fairness in Recommendation☆28Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated 10 months ago
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆15Updated 2 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 5 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 2 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆24Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆39Updated 4 years ago
- codes for SIGIR paper Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning☆9Updated 3 years ago
- ☆12Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 3 years ago
- Sequential sets to sequential sets learning☆30Updated 2 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆18Updated 2 years ago
- PyTorch implementation GRU4Rec model☆16Updated 4 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆38Updated 3 years ago