zealscott / Causality4Rec_Paperlist
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Causality4Rec_Paperlist
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆27Updated 3 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆50Updated 8 months ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆27Updated last year
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆74Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆74Updated 10 months ago
- ☆44Updated 2 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆96Updated last year
- Counterfactual Explainable Recommendation☆47Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- A Pytorch implementation of Collaborative Metric Learning (CML)☆10Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆104Updated 2 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆24Updated last year
- A link to repositories with datasets useful for recommendation tasks☆19Updated last year
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- ☆59Updated 11 months ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆73Updated 3 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆34Updated last year
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆38Updated last year
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago