wuch15 / AAAI-FairRecLinks
Fairrec: fairness-aware news recommendation with decomposed adversarial learning
☆16Updated 4 years ago
Alternatives and similar repositories for AAAI-FairRec
Users that are interested in AAAI-FairRec are comparing it to the libraries listed below
Sorting:
- (PyTorch re-implementation) Neural Rating Regression with Abstractive Tips Generation for Recommendation, SIGIR'17☆11Updated 5 months ago
- The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qi…☆28Updated 2 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆25Updated 5 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 5 months ago
- ☆17Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆34Updated 6 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- About code for "Context-aware Graph Embedding for Session-based News Recommendation"☆9Updated 3 years ago
- This is the implementation of our paper: Ziwei Zhu, Xia Hu, and James Caverlee. 2018. Fairness-Aware Tensor-Based Recommendation. In The …☆10Updated 6 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆30Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Updated last year
- Source codes for the paper "Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive G…☆10Updated 4 years ago
- Summary of recent news recommendation papers.☆25Updated 3 years ago
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆17Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently☆14Updated 2 years ago
- ☆41Updated last year
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- DeerSheep0314 / Re4-Learning-to-Re-contrast-Re-attend-Re-construct-for-Multi-interest-Recommendation☆19Updated 2 years ago
- Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'☆20Updated 3 years ago
- This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-t…☆15Updated last year
- Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"☆9Updated last year
- ☆10Updated 2 years ago