yunqi-li / Personalized-Counterfactual-Fairness-in-RecommendationLinks
Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")
☆18Updated 4 years ago
Alternatives and similar repositories for Personalized-Counterfactual-Fairness-in-Recommendation
Users that are interested in Personalized-Counterfactual-Fairness-in-Recommendation are comparing it to the libraries listed below
Sorting:
- Counterfactual Explainable Recommendation☆50Updated 4 years ago
- User-oriented Fairness in Recommendation☆28Updated 4 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14☆37Updated 10 months ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆51Updated 4 years ago
- Improving Recommendation Fairness via Data Augmentation-WWW23☆14Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆43Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- Implement Fair Recommendation Model In RecBole☆27Updated 2 years ago
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆53Updated 4 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆32Updated 10 months ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- ☆63Updated 2 years ago
- ☆23Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆18Updated 3 years ago
- ☆12Updated 2 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated 2 years ago
- Codebase for SIGIR 2022 paper: Coarse-to-Fine Sparse Sequential Recommendation☆23Updated 3 years ago
- [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation☆30Updated 3 years ago
- CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation☆49Updated 10 months ago
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Updated 3 years ago
- ☆22Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆33Updated last year
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆115Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Updated 2 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Updated 3 years ago