ustcbeuli / PAMLLinks
source code for “Preference-Adaptive Meta-Learning for Cold-Start Recommendation” (IJCAI 2021)
☆16Updated 3 years ago
Alternatives and similar repositories for PAML
Users that are interested in PAML are comparing it to the libraries listed below
Sorting:
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 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
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆32Updated 2 years ago
- ☆32Updated 3 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 4 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆25Updated 5 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- ☆24Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 10 months ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 3 years ago
- This is the official implementation of FIRE☆17Updated 7 months ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆28Updated last year
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆49Updated 4 years ago
- Source code for WWW 2021 paper "Dual Side Deep Context-aware Modulation for Social Recommendation"☆24Updated 4 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 3 years ago
- This is the our implementation for the paper: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations☆12Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆103Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 7 months ago
- The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.o…☆26Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago