TangJiakai / RecBole-FairRecLinks
Implement Fair Recommendation Model In RecBole
☆27Updated 2 years ago
Alternatives and similar repositories for RecBole-FairRec
Users that are interested in RecBole-FairRec are comparing it to the libraries listed below
Sorting:
- Improving Recommendation Fairness via Data Augmentation-WWW23☆13Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆104Updated last year
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆12Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- ☆39Updated last year
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆82Updated 2 years ago
- RecBole-MetaRec is an extended module for RecBole, which aims to help researchers to compare and develop their own models in the meta lea…☆25Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated last year
- ☆52Updated last year
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆34Updated last year
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- WWW 2023 "Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation"☆16Updated 2 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated 2 years ago
- ☆23Updated 2 years ago
- The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model☆39Updated last year
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆48Updated last year
- The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".☆119Updated last week
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆121Updated last year
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆38Updated 6 months ago
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆59Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- Diffusion Recommender Model☆226Updated last year
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆18Updated 3 years ago
- Efficient and extensible GNNs enhanced recommender library based on RecBole.☆184Updated last year
- [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"☆41Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 4 years ago