rutgerswiselab / user-fairnessLinks
User-oriented Fairness in Recommendation
☆28Updated 4 years ago
Alternatives and similar repositories for user-fairness
Users that are interested in user-fairness are comparing it to the libraries listed below
Sorting:
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Updated 3 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆42Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆33Updated last year
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago
- ☆33Updated 3 years ago
- This is the official implementation of FIRE☆18Updated last year
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Implementation of "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"☆16Updated 3 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆45Updated 4 years ago
- ☆24Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆45Updated last year
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Updated last year
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆114Updated 3 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 4 years ago
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆18Updated 4 years ago
- This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) TKDE 2021.☆20Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated last year
- ☆19Updated 7 months ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 3 years ago
- The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"☆19Updated 3 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated 2 years ago