fajieyuan / cross-domain-recommendationLinks
cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
☆44Updated last year
Alternatives and similar repositories for cross-domain-recommendation
Users that are interested in cross-domain-recommendation are comparing it to the libraries listed below
Sorting:
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆106Updated 3 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆34Updated 2 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆138Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆59Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 9 months ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆104Updated last year
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆91Updated 4 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 4 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated last year
- Session-based Recommendation☆65Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- ☆107Updated 2 months ago
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆98Updated 3 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆123Updated 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
- Disentangled Self-Supervision in Sequential Recommenders☆31Updated 3 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆125Updated 2 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆72Updated 3 years ago
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆67Updated 2 years ago
- ☆33Updated 3 years ago
- ☆24Updated 3 years ago
- ☆68Updated 4 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆83Updated last year
- This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an opti…☆73Updated 2 years ago