easezyc / WSDM2022-PTUPCDRLinks
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
☆137Updated last year
Alternatives and similar repositories for WSDM2022-PTUPCDR
Users that are interested in WSDM2022-PTUPCDR are comparing it to the libraries listed below
Sorting:
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆106Updated 3 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆122Updated 2 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆33Updated 2 years ago
- This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an opti…☆72Updated 2 years ago
- ☆107Updated 2 months ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆103Updated last year
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆155Updated last year
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 11 months ago
- Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks☆26Updated 4 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆59Updated 3 years ago
- ☆172Updated 3 years ago
- this is the code of MMCLR☆41Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆39Updated 3 years ago
- SGL PyTorch version☆108Updated 3 years ago
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆98Updated 3 years ago
- ☆37Updated 4 years ago
- Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".☆85Updated 2 years ago
- Session-based Recommendation☆64Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆67Updated 2 years ago
- Disentangled Self-Supervision in Sequential Recommenders☆30Updated 3 years ago
- ☆97Updated 3 years ago
- This is a repo containing recent papers related to temporal (sequential) recommender system☆63Updated 4 years ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆94Updated 3 months ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆127Updated 4 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆255Updated 4 years ago