xiaxin1998 / OD-RecLinks
Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
☆14Updated 2 years ago
Alternatives and similar repositories for OD-Rec
Users that are interested in OD-Rec are comparing it to the libraries listed below
Sorting:
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- User-oriented Fairness in Recommendation☆29Updated 4 years ago
- This is the official implementation of FIRE☆18Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆21Updated 2 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆44Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 4 years ago
- Contrastive Learning for Cold-start Recommendation☆72Updated 4 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆117Updated 4 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated 2 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 4 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Updated 2 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆43Updated 3 years ago
- ☆42Updated 2 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆46Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆25Updated 2 years ago
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆33Updated 2 years ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆66Updated 8 months ago
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Updated 3 years ago
- Source code and dataset for TKDE'22 paper "Region or Global? A Principle for Negative Sampling in Graph-based Recommendation"☆13Updated 3 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 3 years ago