fajieyuan / recommendation_dataset_pretraining
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
☆16Updated 6 months ago
Related projects: ⓘ
- The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"☆18Updated 2 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆31Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆22Updated 4 years ago
- Pytorch implementation of the paper "Debiased Explainable Pairwise Ranking from Implicit Feedback".☆11Updated 2 years ago
- ☆23Updated 3 years ago
- ☆24Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆19Updated 2 years ago
- Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation☆16Updated 3 years ago
- A curator of Sequential Recommendation algorithms☆20Updated 3 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 2 years ago
- ☆34Updated 3 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆44Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆42Updated 5 months ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated last year
- Pre-training and Lifelong learning for User Embedding and Recommender System☆43Updated 6 months ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆27Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆34Updated last year
- A PyTorch implementation of Determinantal Point Process Likelihoods for Sequential Recommendation☆12Updated 2 years ago
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 5 years ago
- ☆21Updated 10 months ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆33Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆39Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated 10 months ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆27Updated 2 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆11Updated 2 years ago