rahmanidashti / FairRecSysLinks
[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
☆33Updated 3 years ago
Alternatives and similar repositories for FairRecSys
Users that are interested in FairRecSys are comparing it to the libraries listed below
Sorting:
- ☆60Updated last year
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated last year
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs☆35Updated last year
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆117Updated last year
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆83Updated last year
- Pre-training and Transfer learning papers for recommendation☆18Updated 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
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation☆17Updated 4 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'☆21Updated last year
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆26Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- data and code of list continuation paper from WSDM 2020☆25Updated 5 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- A box of core libraries for recommendation model development☆92Updated 10 months ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆109Updated 3 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆111Updated 4 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- Bayesian Personalized Ranking using PyTorch☆138Updated 5 months ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- ☆49Updated last year