doublemul / ADER
(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]
☆32Updated last year
Alternatives and similar repositories for ADER:
Users that are interested in ADER are comparing it to the libraries listed below
- [SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"☆54Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- PyTorch implementation GRU4Rec model☆15Updated 5 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆86Updated 4 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 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
- ☆49Updated 9 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- 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
- data and code of list continuation paper from WSDM 2020☆25Updated 5 years ago
- ☆58Updated last year
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆46Updated last year
- The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.o…☆26Updated 2 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated last year
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆43Updated last year
- A curator of Sequential Recommendation algorithms☆20Updated 4 years ago
- ☆52Updated 2 years ago
- ProxySR (Unsupervised Proxy Selection for Session-based Recommender Systems, SIGIR'21)☆13Updated 3 years ago
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆67Updated 3 years ago
- An unofficial pytorch implementation of MELU☆45Updated 8 months ago
- Open source data and code of the MGNM☆23Updated 2 years ago
- Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction☆21Updated 4 years ago
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆33Updated last year
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 6 years ago