RyanWangZf / CVIB-RecLinks
Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
☆28Updated 4 years ago
Alternatives and similar repositories for CVIB-Rec
Users that are interested in CVIB-Rec are comparing it to the libraries listed below
Sorting:
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆18Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 2 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆34Updated 4 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Offical Code for "PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation."☆12Updated 3 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- ☆63Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 9 months ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Updated 5 years ago
- Neural Collaborative Reasoning☆30Updated 4 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 3 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆25Updated 5 years ago
- Explainable recommendation via interpretable feature mapping☆19Updated 5 years ago
- an unbias-learning-to-rank dataset of Baidu☆65Updated last year
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 3 years ago
- code for RIM☆22Updated 2 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated 2 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆20Updated 3 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago