hulkima / Tri-CDR
The source code is for the paper: “Triple Sequence Learning for Cross-domain Recommendation” accepted in TOIS by Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin and Jie Zhou.
☆11Updated 11 months ago
Alternatives and similar repositories for Tri-CDR:
Users that are interested in Tri-CDR are comparing it to the libraries listed below
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆37Updated 2 years ago
- The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model☆30Updated 6 months ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆29Updated 6 months ago
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆20Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆35Updated 6 months ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆57Updated 11 months ago
- [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering☆11Updated 6 months ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆28Updated 2 years ago
- [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation☆23Updated 2 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆54Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆62Updated last year
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆29Updated last year
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆16Updated 2 years ago
- ☆21Updated last year
- Multi-Behavior Recommendation-Papers☆11Updated 9 months ago
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated last year
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆26Updated 2 years ago
- Pytorch implementation of the paper "Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers".☆12Updated 2 years ago
- WWW 2023 "Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation"☆16Updated last year
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Updated 11 months ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 3 months ago
- A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations☆29Updated last year
- Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation☆11Updated last year
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆16Updated last year
- ☆28Updated 9 months ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆45Updated 9 months ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆32Updated last year
- ☆23Updated last year
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆59Updated 8 months ago