[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
☆77Sep 3, 2021Updated 4 years ago
Alternatives and similar repositories for MACR
Users that are interested in MACR are comparing it to the libraries listed below
Sorting:
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Jun 15, 2023Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆157Jun 4, 2024Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Jun 12, 2021Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆44Nov 8, 2023Updated 2 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Sep 16, 2022Updated 3 years ago
- ☆22Nov 13, 2023Updated 2 years ago
- ☆19Dec 20, 2025Updated 2 months ago
- ☆29Mar 29, 2023Updated 2 years ago
- This repository collects debiasing methods for recommendation☆456Feb 19, 2024Updated 2 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Dec 26, 2023Updated 2 years ago
- ☆33Dec 31, 2021Updated 4 years ago
- ☆17Aug 1, 2021Updated 4 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Aug 2, 2023Updated 2 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆21May 19, 2023Updated 2 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆248Oct 24, 2018Updated 7 years ago
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆25May 16, 2022Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Mar 3, 2023Updated 3 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆515Mar 3, 2023Updated 3 years ago
- ☆20Aug 18, 2021Updated 4 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆21Jul 27, 2023Updated 2 years ago
- This is the official implementation of the paper "Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Lea…☆25Dec 12, 2024Updated last year
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆20Mar 11, 2022Updated 3 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆100Nov 6, 2020Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Dec 26, 2020Updated 5 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Jun 26, 2020Updated 5 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Aug 12, 2022Updated 3 years ago
- 蚂蚁金融自然语言处理竞赛。☆10Sep 3, 2018Updated 7 years ago
- Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions☆12Mar 26, 2020Updated 5 years ago
- Implementation of Inverse Propensity Matrix Factorization with Pytorch-Lightning☆12Sep 23, 2020Updated 5 years ago
- ☆11Mar 25, 2022Updated 3 years ago
- ACM UMAP2020 Hands-on Tutorial on Data and Algorithmic Bias in Recommender Systems☆10May 23, 2021Updated 4 years ago
- ☆184Oct 1, 2019Updated 6 years ago
- Source code of FedAttack.☆11Feb 9, 2022Updated 4 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆25Mar 24, 2023Updated 2 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Sep 30, 2022Updated 3 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Jan 4, 2024Updated 2 years ago
- Code of the CMNLN model☆13Nov 6, 2021Updated 4 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Jan 19, 2023Updated 3 years ago
- Diffusion-based Negative Sampling on Graphs for Link Prediction☆13Feb 13, 2024Updated 2 years ago