fajieyuan / universal_user_representationLinks
papers of universal user representation learning for recommendation
☆24Updated last year
Alternatives and similar repositories for universal_user_representation
Users that are interested in universal_user_representation 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
- Recommender systems with large language models (Paper list)☆61Updated last year
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- Generative Recommendation: Towards Next-generation Recommender Paradigm☆62Updated last year
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- Code for MM'23 paper "Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation"☆29Updated last year
- DeerSheep0314 / Re4-Learning-to-Re-contrast-Re-attend-Re-construct-for-Multi-interest-Recommendation☆19Updated 2 years ago
- implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023☆13Updated 9 months ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Updated 2 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆76Updated 2 years ago
- ☆25Updated 2 years ago
- ☆24Updated 3 years ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆63Updated last month
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".☆50Updated last year
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆36Updated last year
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆106Updated 3 years ago
- The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)☆32Updated last year
- Multi-domain Recommendation with Adapter Tuning☆32Updated last year
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆32Updated 2 years ago
- ☆24Updated 4 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆78Updated 2 years ago