stillpsy / popbias
☆16Updated 2 years ago
Alternatives and similar repositories for popbias:
Users that are interested in popbias are comparing it to the libraries listed below
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆25Updated 2 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆24Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- ☆22Updated last year
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- ☆9Updated 3 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆12Updated 2 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 3 years ago
- ☆12Updated 4 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆36Updated 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 code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated last year
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆44Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated 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
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- The repository for Continual Collaborative Distillation for Recommender Systems, accepted in KDD'24.☆14Updated 3 months ago
- Counterfactual Explainable Recommendation☆47Updated 3 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆104Updated 3 years ago
- Contrastive Learning for Cold-start Recommendation☆66Updated 3 years ago