almightyGOSU / TheDatasetsDilemma
Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"
☆22Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for TheDatasetsDilemma
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- ☆44Updated 2 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- ☆21Updated last year
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- ☆16Updated last year
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆28Updated last year
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆22Updated 2 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆38Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆38Updated last year
- ☆16Updated last year
- ☆9Updated 2 years ago
- data and code of list continuation paper from WSDM 2020☆24Updated 4 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆24Updated last year
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆74Updated 3 years ago
- ☆57Updated 6 months ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- Counterfactual Explainable Recommendation☆48Updated 2 years ago
- ☆15Updated 3 months ago
- Sequential sets to sequential sets learning☆31Updated 2 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆104Updated 2 years ago
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated last year
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆33Updated last year
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆50Updated 3 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆48Updated 3 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 4 years ago