stillpsy / popbiasLinks
☆15Updated 2 years ago
Alternatives and similar repositories for popbias
Users that are interested in popbias are comparing it to the libraries listed below
Sorting:
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆24Updated 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
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆13Updated 2 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 3 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- ☆12Updated 4 years ago
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆34Updated last year
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Fairrec: fairness-aware news recommendation with decomposed adversarial learning☆16Updated 3 years ago
- Training Sequential Recommenders as Discriminators (SIGIR'22)☆15Updated 2 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- A unified framework for recommender system attacking☆31Updated last year
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- ☆22Updated last year
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆106Updated 3 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- ☆9Updated 3 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆26Updated 2 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated last year
- A Survey of Poisoning Attacks and Defenses in Recommender Systems☆35Updated 8 months ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆49Updated 4 years ago
- Summary of recent news recommendation papers.☆25Updated 3 years ago