fajieyuan / recommendation_dataset_pretrainingLinks
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
☆16Updated last year
Alternatives and similar repositories for recommendation_dataset_pretraining
Users that are interested in recommendation_dataset_pretraining are comparing it to the libraries listed below
Sorting:
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- Pre-training and Transfer learning papers for recommendation☆18Updated last year
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- ☆31Updated 5 years ago
- ☆49Updated last year
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 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
- Adaptive Denoising Training (ADT) for Recommendation.☆72Updated 3 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
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"☆19Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 6 months ago
- ☆24Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 4 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- A curator of Sequential Recommendation algorithms☆20Updated 4 years ago
- KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion☆61Updated 4 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 6 years ago